WO2022061231A1

WO2022061231A1 - Methods, systems, apparatuses, and devices for monetizing contributions made by users to a social media platform

Info

Publication number: WO2022061231A1
Application number: PCT/US2021/051095
Authority: WO
Inventors: Reginald D. WOODIE; Stefan STAYKOV; Ermias SOLOMON; Jonathan CONCEPCION; Ryan Jackson; Simon Tong
Original assignee: Woodie Reginald D; Staykov Stefan; Solomon Ermias; Concepcion Jonathan; Ryan Jackson; Simon Tong
Priority date: 2020-09-18
Filing date: 2021-09-20
Publication date: 2022-03-24

Abstract

A method and system for monetizing contributions made by users to a social media platform are provided. Further, the method may include a step of receiving one or more contributions made by one or more users from one or more user devices associated with the one or more users, analyzing the one or more contributions, determining a value of one or more parameters for the one or more contributions based on the analyzing, generating one or more rewards for the one or more contributions based on the determining, transmitting the one or more rewards to the one or more user devices associated with the one or more users, and storing the one or more rewards in a distributed ledger.

Description

METHODS, SYSTEMS, APPARATUSES, AND DEVICES FOR MONETIZING

CONTRIBUTIONS MADE BY USERS TO A SOCIAL MEDIA PLATFORM

FIELD OF THE INVENTION

Generally, the present disclosure relates to the field of data processing. More specifically, the present disclosure relates to methods, systems, apparatuses, and devices for monetizing contributions made by users to a social media platform.

BACKGROUND OF THE INVENTION

The field of data processing is technologically important to several industries, business organizations, and/or individuals.

The introduction to social media has been a prevalent growing industry in the past years with the years to come. There are many existing social media in which people are utilizing and managing that enable users to create and/or share content with other users. Each social media is unique in the utility in which they provide. The different utility each social media brings to the table requires users to claim ownership of multiple accounts which can be chaotic in terms of organization and time consuming as browsing on multiple social media is required to be up to date with what people are creating and sharing in terms of content. In addition, social media is typically used for creating and sharing content alongside communication with other users, nothing more.

Therefore, there is a need for methods, systems, apparatuses, and devices for monetizing contributions made by users to a social media platform that may overcome one or more of the above-mentioned problems and/or limitations.

SUMMARY OF THE INVENTION

This summary is provided to introduce a selection of concepts in a simplified form, that are further described below in the Detailed Description. This summary is not intended to identify key features or essential features of the claimed subject matter. Nor is this summary intended to be used to limit the claimed subject matter’s scope.

Disclosed herein is a method for monetizing contributions made by users to a social media platform, in accordance with some embodiments. The method may include a step of receiving, using a communication device, one or more contributions made by one or more users from one or more user devices associated with the one or more users. Further, the one or more contributions may be posted on the social media platform. Further, the method may include a step of analyzing, using a processing device, the one or more contributions. Further, the method may include a step of determining, using the processing device, a value of one or more parameters for the one or more contributions based on the analyzing. Further, the one or more parameters may be used for evaluating the contributions. Further, the method may include a step of generating, using the processing device, one or more rewards for the one or more contributions based on the determining. Further, the one or more rewards may include one or more amount of cryptocurrency tokens. Further, the method may include a step of transmitting, using the communication device, the one or more rewards to the one or more user devices associated with the one or more users. Further, the method may include a step of storing, using a storage device, the one or more rewards in a distributed ledger.

Further disclosed herein is a system for monetizing contributions made by users to a social media platform, in accordance with some embodiments. The system may include a communication device, a processing device, and a storage device. Further, the communication device may be configured for performing a step of receiving one or more contributions made by one or more users from one or more user devices associated with the one or more users. Further, the one or more contributions may be posted on the social media platform. Further, the communication device may be configured for performing a step of transmitting one or more rewards to the one or more user devices associated with the one or more users. The processing device may be communicatively coupled with the communication device. Further, the processing device may be configured for performing a step of analyzing the one or more contributions. Further, the processing device may be configured for performing a step of determining a value of one or more parameters for the one or more contributions based on the analyzing. Further, the one or more parameters may be used for evaluating the contributions. Further, the processing device may be configured for performing a step of generating the one or more rewards for the one or more contributions based on the determining. Further, the one or more rewards may include one or more amount of cryptocurrency tokens. The storage device may be communicatively coupled with the processing device. Further, the storage device may be configured for performing a step of storing the one or more rewards in a distributed ledger.

Both the foregoing summary and the following detailed description provide examples and are explanatory only. Accordingly, the foregoing summary and the following detailed description should not be considered to be restrictive. Further, features or variations may be provided in addition to those set forth herein. For example, embodiments may be directed to various feature combinations and sub-combinations described in the detailed description.

BRIEF DESCRIPTION OF DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate various embodiments of the present disclosure. The drawings contain representations of various trademarks and copyrights owned by the Applicants. In addition, the drawings may contain other marks owned by third parties and are being used for illustrative purposes only. All rights to various trademarks and copyrights represented herein, except those belonging to their respective owners, are vested in and the property of the applicants. The applicants retain and reserve all rights in their trademarks and copyrights included herein, and grant permission to reproduce the material only in connection with reproduction of the granted patent and for no other purpose.

Furthermore, the drawings may contain text or captions that may explain certain embodiments of the present disclosure. This text is included for illustrative, non-limiting, explanatory purposes of certain embodiments detailed in the present disclosure.

FIG. 1 is an illustration of an online platform consistent with various embodiments of the present disclosure.

FIG. 2 is a block diagram of a computing device for implementing the methods disclosed herein, in accordance with some embodiments.

FIG. 3 is a flow chart of a method for monetizing contributions made by users to a social media platform, in accordance with some embodiments.

FIG. 4 is a flow chart of the method for monetizing contributions made by users to the social media platform in which the method further may include determining an existing state of one or more objects present in the one or more content based on the analyzing of the one or more content, in accordance with some embodiments.

FIG. 5 is a flow chart of the method for monetizing contributions made by users to the social media platform in which the method further may include determining a similarity between the one or more user locations and the one or more content locations based on the analyzing of the one or more content and the one or more contributions, in accordance with some embodiments.

FIG. 6 is a flow chart of the method for monetizing contributions made by users to the social media platform in which the method further may include storing the one or more possessionable object information in a distributed ledger, in accordance with some embodiments.

FIG. 7 is a flow chart of the method for monetizing contributions made by users to the social media platform in which the method further may include processing a transaction of the one or more first possessionable objects for a fee to the one or more users using a payment information based on the determining of the fee, in accordance with some embodiments.

FIG. 8 is a flow chart of the method for monetizing contributions made by users to the social media platform in which the method further may include transmitting a profit to one or more first owner devices associated with the one or more first owners, in accordance with some embodiments.

FIG. 9 is a flow chart of the method for monetizing contributions made by users to the social media platform in which the method further may include determining an availability of the one or more first possessionable objects for use in the one or more contributions based on the analyzing of the one or more first possessionable object information, in accordance with some embodiments.

FIG. 10 is a continuation flow chart of FIG. 9.

FIG. 11 is a flow chart of the method for monetizing contributions made by users to the social media platform in which the method further may include determining an approval of the one or more contributions based on the analyzing of the two or more votes, in accordance with some embodiments.

FIG. 12 is a flow chart of the method for monetizing contributions made by users to the social media platform in which the method further may include determining a rank of the one or more contributions based on the determining of a quality, in accordance with some embodiments.

FIG. 13 is a flow chart of the method for monetizing contributions made by users to the social media platform in which the method further may include determining a user rank of the one or more users based on the determining of a user activity, in accordance with some embodiments.

FIG. 14 is a block diagram of a system for monetizing contributions made by users to the social media platform, in accordance with some embodiments.

DETAILED DESCRIPTION OF THE INVENTION

As a preliminary matter, it will readily be understood by one having ordinary skill in the relevant art that the present disclosure has broad utility and application. As should be understood, any embodiment may incorporate only one or a plurality of the above-disclosed aspects of the disclosure and may further incorporate only one or a plurality of the abovedisclosed features. Furthermore, any embodiment discussed and identified as being “preferred” is considered to be part of a best mode contemplated for carrying out the embodiments of the present disclosure. Other embodiments also may be discussed for additional illustrative purposes in providing a full and enabling disclosure. Moreover, many embodiments, such as adaptations, variations, modifications, and equivalent arrangements, will be implicitly disclosed by the embodiments described herein and fall within the scope of the present disclosure.

Accordingly, while embodiments are described herein in detail in relation to one or more embodiments, it is to be understood that this disclosure is illustrative and exemplary of the present disclosure, and are made merely for the purposes of providing a full and enabling disclosure. The detailed disclosure herein of one or more embodiments is not intended, nor is to be construed, to limit the scope of patent protection afforded in any claim of a patent issuing here from, which scope is to be defined by the claims and the equivalents thereof. It is not intended that the scope of patent protection be defined by reading into any claim limitation found herein and/or issuing here from that does not explicitly appear in the claim itself.

Thus, for example, any sequence(s) and/or temporal order of steps of various processes or methods that are described herein are illustrative and not restrictive. Accordingly, it should be understood that, although steps of various processes or methods may be shown and described as being in a sequence or temporal order, the steps of any such processes or methods are not limited to being carried out in any particular sequence or order, absent an indication otherwise. Indeed, the steps in such processes or methods generally may be carried out in various different sequences and orders while still falling within the scope of the present disclosure. Accordingly, it is intended that the scope of patent protection is to be defined by the issued claim(s) rather than the description set forth herein.

Additionally, it is important to note that each term used herein refers to that which an ordinary artisan would understand such term to mean based on the contextual use of such term herein. To the extent that the meaning of a term used herein — as understood by the ordinary artisan based on the contextual use of such term — differs in any way from any particular dictionary definition of such term, it is intended that the meaning of the term as understood by the ordinary artisan should prevail.

Furthermore, it is important to note that, as used herein, “a” and “an” each generally denotes “at least one,” but does not exclude a plurality unless the contextual use dictates otherwise. When used herein to join a list of items, “or” denotes “at least one of the items,” but does not exclude a plurality of items of the list. Finally, when used herein to join a list of items, “and” denotes “all of the items of the list.”

The following detailed description refers to the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or similar elements. While many embodiments of the disclosure may be described, modifications, adaptations, and other implementations are possible. For example, substitutions, additions, or modifications may be made to the elements illustrated in the drawings, and the methods described herein may be modified by substituting, reordering, or adding stages to the disclosed methods. Accordingly, the following detailed description does not limit the disclosure. Instead, the proper scope of the disclosure is defined by the claims found herein and/or issuing here from. The present disclosure contains headers. It should be understood that these headers are used as references and are not to be construed as limiting upon the subjected matter disclosed under the header.

The present disclosure includes many aspects and features. Moreover, while many aspects and features relate to, and are described in the context of monetizing contributions made by users to a social media platform, embodiments of the present disclosure are not limited to use only in this context.

In general, the method disclosed herein may be performed by one or more computing devices. For example, in some embodiments, the method may be performed by a server computer in communication with one or more client devices over a communication network such as, for example, the Internet. In some other embodiments, the method may be performed by one or more of at least one server computer, at least one client device, at least one network device, at least one sensor and at least one actuator. Examples of the one or more client devices and/or the server computer may include, a desktop computer, a laptop computer, a tablet computer, a personal digital assistant, a portable electronic device, a wearable computer, a smart phone, an Internet of Things (loT) device, a smart electrical appliance, a video game console, a rack server, a super-computer, a mainframe computer, mini-computer, micro-computer, a storage server, an application server (e.g., a mail server, a web server, a real-time communication server, an FTP server, a virtual server, a proxy server, a DNS server etc.), a quantum computer, and so on. Further, one or more client devices and/or the server computer may be configured for executing a software application such as, for example, but not limited to, an operating system (e.g., Windows, Mac OS, Unix, Linux, Android, etc.) in order to provide a user interface (e.g., GUI, touch-screen based interface, voice based interface, gesture based interface etc.) for use by the one or more users and/or a network interface for communicating with other devices over a communication network. Accordingly, the server computer may include a processing device configured for performing data processing tasks such as, for example, but not limited to, analyzing, identifying, determining, generating, transforming, calculating, computing, compressing, decompressing, encrypting, decrypting, scrambling, splitting, merging, interpolating, extrapolating, redacting, anonymizing, encoding and decoding. Further, the server computer may include a communication device configured for communicating with one or more external devices. The one or more external devices may include, for example, but are not limited to, a client device, a third party database, public database, a private database and so on. Further, the communication device may be configured for communicating with the one or more external devices over one or more communication channels. Further, the one or more communication channels may include a wireless communication channel and/or a wired communication channel. Accordingly, the communication device may be configured for performing one or more of transmitting and receiving of information in electronic form. Further, the server computer may include a storage device configured for performing data storage and/or data retrieval operations. In general, the storage device may be configured for providing reliable storage of digital information. Accordingly, in some embodiments, the storage device may be based on technologies such as, but not limited to, data compression, data backup, data redundancy, deduplication, error correction, data finger-printing, role based access control, and so on.

Further, one or more steps of the method disclosed herein may be initiated, maintained, controlled and/or terminated based on a control input received from one or more devices operated by one or more users such as, for example, but not limited to, an end user, an admin, a service provider, a service consumer, an agent, a broker and a representative thereof. Further, the user as defined herein may refer to a human, an animal or an artificially intelligent being in any state of existence, unless stated otherwise, elsewhere in the present disclosure. Further, in some embodiments, the one or more users may be required to successfully perform authentication in order for the control input to be effective. In general, a user of the one or more users may perform authentication based on the possession of a secret human readable secret data (e.g., username, password, passphrase, PIN, secret question, secret answer etc.) and/or possession of a machine readable secret data (e.g., encryption key, decryption key, bar codes, etc.) and/or or possession of one or more embodied characteristics unique to the user (e.g., biometric variables such as, but not limited to, fingerprint, palmprint, voice characteristics, behavioral characteristics, facial features, iris pattern, heart rate variability, evoked potentials, brain waves, and so on) and/or possession of a unique device (e.g., a device with a unique physical and/or chemical and/or biological characteristic, a hardware device with a unique serial number, a network device with a unique IP/MAC address, a telephone with a unique phone number, a smartcard with an authentication token stored thereupon, etc.). Accordingly, the one or more steps of the method may include communicating (e.g., transmitting and/or receiving) with one or more sensor devices and/or one or more actuators in order to perform authentication. For example, the one or more steps may include receiving, using the communication device, the secret human readable data from an input device such as, for example, a keyboard, a keypad, a touch-screen, a microphone, a camera and so on. Likewise, the one or more steps may include receiving, using the communication device, the one or more embodied characteristics from one or more biometric sensors.

Further, one or more steps of the method may be automatically initiated, maintained and/or terminated based on one or more predefined conditions. In an instance, the one or more predefined conditions may be based on one or more contextual variables. In general, the one or more contextual variables may represent a condition relevant to the performance of the one or more steps of the method. The one or more contextual variables may include, for example, but are not limited to, location, time, identity of a user associated with a device (e.g., the server computer, a client device etc.) corresponding to the performance of the one or more steps, and/or semantic content of data associated with the one or more users. Accordingly, the one or more steps may include communicating with one or more sensors and/or one or more actuators associated with the one or more contextual variables. For example, the one or more sensors may include, but are not limited to, a timing device (e.g., a real-time clock), a location sensor (e.g., a GPS receiver, a GLONASS receiver, an indoor location sensor, etc.), a biometric sensor (e.g., a fingerprint sensor)

Further, the one or more steps of the method may be performed one or more number of times. Additionally, the one or more steps may be performed in any order other than as exemplarily disclosed herein, unless explicitly stated otherwise, elsewhere in the present disclosure. Further, two or more steps of the one or more steps may, in some embodiments, be simultaneously performed, at least in part. Further, in some embodiments, there may be one or more time gaps between performance of any two steps of the one or more steps.

Further, in some embodiments, the one or more predefined conditions may be specified by the one or more users. Accordingly, the one or more steps may include receiving, using the communication device, the one or more predefined conditions from one or more and devices operated by the one or more users. Further, the one or more predefined conditions may be stored in the storage device. Alternatively, and/or additionally, in some embodiments, the one or more predefined conditions may be automatically determined, using the processing device, based on historical data corresponding to performance of the one or more steps. For example, the historical data may be collected, using the storage device, from a plurality of instances of performance of the method. Such historical data may include performance actions (e.g., initiating, maintaining, interrupting, terminating, etc.) of the one or more steps and/or the one or more contextual variables associated therewith. Further, machine learning may be performed on the historical data in order to determine the one or more predefined conditions. For instance, machine learning on the historical data may determine a correlation between one or more contextual variables and performance of the one or more steps of the method. Accordingly, the one or more predefined conditions may be generated, using the processing device, based on the correlation.

Further, one or more steps of the method may be performed at one or more spatial locations. For instance, the method may be performed by a plurality of devices interconnected through a communication network. Accordingly, in an example, one or more steps of the method may be performed by a server computer. Similarly, one or more steps of the method may be performed by a client computer. Likewise, one or more steps of the method may be performed by an intermediate entity such as, for example, a proxy server. For instance, one or more steps of the method may be performed in a distributed fashion across the plurality of devices in order to meet one or more objectives. For example, one objective may be to provide load balancing between two or more devices. Another objective may be to restrict a location of one or more of an input data, an output data and any intermediate data therebetween corresponding to one or more steps of the method. For example, in a clientserver environment, sensitive data corresponding to a user may not be allowed to be transmitted to the server computer. Accordingly, one or more steps of the method operating on the sensitive data and/or a derivative thereof may be performed at the client device.

Overview:

The present disclosure describes methods, systems, apparatuses, and devices for monetizing contributions made by users to a social media platform. Further, the disclosed system may provide a unique social media platform in which allow the users to create and share content. The disclosed system may allow the users to earn a type of cryptocurrency. In addition, the disclosed system may allow the users to rate and review advertisement postings, products, physical locations, comments, items online, etc. Furthermore, the disclosed system may allow the users to have ownership of virtual objects in which hold value within the said social media.

Further, the disclosed system may be associated with a decentralized, social media platform (or platform) that encourages open communication and connects the users. Chayn, an exemplary embodiment of the disclosed system herein, may award the users with Chayn tokens for their daily contributions to social media such as reading, posting, watching videos, voting, rate, and reviewing content online and real-world products and/or location. Further, the disclosed system combines blockchain technology with a tokenized system to fuel the rewarding process. In addition, there is no single entity that may control the social media platform such as a CEO. The community may control the platform through a decentralized autonomous organization governance model. Furthermore, the disclosed system may adopt a transparent and open-source protocol while the platform is being created and expanded. Further, the disclosed system may be associated with a plurality of concepts and methods in which are combined to form the social media platform. Further, the concepts and methods may be utilized in conjunction to operate correctly and achieve its objective.

Further, the disclosed system may be based on three primary ranking concepts. The three ranking concepts are C-rank, C-score, and Ad-score. The three ranking concepts may assist in the fundamentals and foundation of the present invention.

The C-rank is described as a peer-to-peer evaluation feature that tracks the quality of content submitted by the users. Essentially, the users are to evaluate other users' content posted for confirmation that the content is useful. The C-rank concept may be based on a scale of 1 to 100, with 1 being the lowest ranking and 100 being the highest ranking. C-rank is driven by the number of upvotes a user receives per content posted by his or her peers. C- rank algorithmically determines how visible a user’s content may be posted on social media.

The C-score is described as the rating that determines the rate at which members earn cryptocurrency from the social media platform. The C-score is based on all member activity of the social media platform. The more active a user is throughout the social media platform, the greater the possibility of a higher C-score they may receive. The C-score concept may be essentially a rating that shows how quickly a user earns cryptocurrency from the social media platform. The scaling for the C-score is based on a scale from 1 to 10, 1 being the lowest score and 10 being the highest score.

The Ad-score may be described as the rating that determines how visible an advertiser’s ad may be posted on the social media platform. The ad-score is a user evaluation of the quality of content in the ads on the social media platform. The ad-score may essentially show the quality of the ad which is evaluated by the users of the site. The scaling for the Ad- score may be based on 1 to 100, 1 being the lowest score possible and 100 being the highest score possible. Each advertisement content may have a number between 1 and 100 next to it to reflect the Ad-score. The Ad-score represents a truly decentralized advertising model.

The disclosed system may be associated with praise rating, real-world rating, unofficial rating, official rating, rating the web, sentiment tags, claiming sentiment tags, tags marketplace, application programming interface (API) mining for cryptocurrency, submitting/claiming memes, memes marketplace, moderating the social media platform, advertising on the social media platform, and profit-sharing from ad revenue. Furthermore, the disclosed system may be based on two Chayn tokenomics concepts: proof of action and the Chayn stable token. The Chayn tokenomics are used for the stability and security of the cryptocurrency Chayn tokens.

Praise rating may be described as a rating system that users express their sentiments about anything imaginable on the internet and/or social media. Further, the praise rating may be used to rate anything from physical/virtual products to physical/virtual locations. The praise rating may be fueled by positive neutral, and negative sentiments. Further, a praise rating scale associated with the praise rating may be based on a scale from 1 to 100, 1 being the lowest rating possible and 100 being the highest rating possible. The praise rating may be presented as a number inside a small colored circle. The colored circle provides a visual representation of the praise rating given by the users. The colored circles may come in green, yellow, or red. The colored circle with a numeral rating between 1 to 33 may be red, which represents negative sentiments. The colored circle with a numeral rating between 34 and 66 may be yellow, which represents neutral sentiments. The colored circle with a numeral rating between 67 and 100 may be green, which represents positive sentiments. The numerical values and colors of the circles may be triggered mathematically by the ratio of positive votes, neutral votes, and negative votes.

The real-world rating may be described as a rating system by users for establishments within the real world. Further, the real world is defined by the existing state of things, as opposed to one that is imaginary, simulated, or theoretical. Some examples of real -world establishments are hotels, restaurants, stores, movie theaters, events, etc. Further, the users may be able to earn cryptocurrency from the social media platform for rating things in the real world. Furthermore, the real-world rating may fall under two categories: official rating and unofficial rating.

Further, the official rating may be described as a rating system that requires the user to physically be at the location while rating the place in the real world. The user’s physical location may be detected using geolocation technology. The users may earn a larger amount of cryptocurrency for official ratings than unofficial ratings. The place of business may also earn cryptocurrency when the users complete official ratings. A praise rating may be attached to anything that is rated. It is important to note that the official rating may also be present on the social media platform.

Further, the unofficial rating may be described as a rating system that does not require the user to physically be at the location while rating the place in the real world. Further, the users may be able to earn cryptocurrency after completing an unofficial rating. A praise rating may be attached to anything that is rated. It is important to note that the unofficial rating may also be present on the social media platform.

Rating the web is described as a rating system that allows users to rate anything imaginable on the internet. The ability to rate anything on the internet may be shoes, books, restaurants, articles, websites, etc. The said rating may be presented on the social media platform for all users to see. In addition, a website owner may have the option to allow the social media platform’s praise rating to show next to whatever has been rated. The website owner may need to connect to the social media API to activate the praise rating system. Further, the users of the social media may be able to hover over the praise rating circle or click the circle to see additional data/stats about the content that was rated. Data/stats would include the number of positive, neutral, and negative votes. The rating on the web may also have a link with indications of ‘ View Comments By clicking on ‘ View Comments' the interface may proceed to a portion of the social media platform that may display the text of what the users had to say about the content being rated. In addition, there may also be a ‘ Powered by Chayn link that may be visible underneath the stats.

Sentiment tags are tokenized words that reflect positive, negative, or neutral sentiments that may also be moved, stored, recorded, bought, sold, or traded on the blockchain. Further, the Sentiment tags may be described as standard hashtags used throughout other existing social media but with feelings. The feelings can be expressed in forms of + Praisetags, -Bashtags, and /Slashtags similar to how #Hashtags are used in other existing social media platforms. +Praisetags will be marked in green to represent positive sentiments; -Bashtags will be marked in red to represent negative sentiments, and /Slashtags will be marked in gray to represent neutral sentiments. Users of the Chayn social media platform may use the sentiment tags in status updates, blogs, comments, and/or while rating the web or the real world. These tags help accentuate and express the users’ thoughts and feelings about any content matter. One example may be a status or a comment stating “A dog is a man’s best friend. +DogsAreCool.”

Each +Praisetag, -Bashtag, and /Slashtag may have a smart contract attached to it. The smart contract may reduce the total supply of each +Praisetag, -Bashtag, and /Slashtag by a specified percentage for every transaction (buy/sell/swap) of said +Praisetag, -Bashtag, /Slashtag. Also, a fee may be charged for every transaction (buy/sell/swap) that may be executed by a smart contract. The funds earned from the fees may be sent to a multi-signature wallet owned by the Chayn platform via the smart contract.

Protected tags are +Praisetags, -Bashtags, and /Slashtags that are closely associated with trademarks, well-known entities, products, or individuals. Rightful owners of said tags may be able to claim their respective +Priasetags, -Bashtags, /Slashtags. Claiming a protected tag may allow owners to also have administrative rights to control the total supply of said protected tags; the selling price of said protected tags, and the ability to receive profits from the sale of the protected tags.

Further, the disclosed system may be associated with Protected Sentiment Tags. Further, the Protected Sentiment Tags are +Praisetags, -Bashtags, and /Slashtags that may be closely associated with trademarks, well-known entities, products, or individuals. Rightful owners of said tags may be able to claim their respective +Praisetags, -Bashtags, and /Slashtags. Claiming a Protected Sentiment Tag may allow rightful owners to also have administrative rights to control the total supply of the Protected Sentiment Tags; set the initial sell price of the Protected Sentiment Tags; engage members who use the Protected Sentiment Tags, and the ability to receive profits from fees charged during transactions (buy/sell/swap) of the Protected Sentiment Tags.

Further, the disclosed system may be associated with the Protected Sentiment Tags that are claimed by owners. These tags may have a blue background so they stand out from the Non-Protected Sentiment Tags and the Protected Sentiment Tags that have not been claimed by rightful owners. Rightful owners would need to claim these tags by showing proof of ownership via demonstrating use on a website, through the trademark database, or via social media accounts. Once the tags have been claimed, smart contracts may be attached to the Protected Sentiment Tags. Rightful owners may also need to agree to the Chayn terms which allow members to earn Chayn tokens for using the tags on the Chayn platform and supporting sites/platforms and for purchasing them in the Chayn decentralized exchange. The smart contracts attached to each Protected Sentiment Tag may charge a 5.5% fee for every transaction (buy/sell/swap). The 5.5% fee may be distributed as revenue to the Chayn platform, rightful owners of the Protected Sentiment Tags, and sites/platforms that use the Chayn API to support the Protected Sentiment Tags on their platforms. The Chayn platform may receive 1% per transaction; sites/platforms that use the Chayn API would receive 0.5% per transaction, and the rightful owners of the Protected Sentiment Tags may receive 4% of every transaction.

Further, the disclosed system may be associated with Protected Sentiment Tags that are not claimed by rightful owners. Further, the users may be free to use Protected Sentiment Tags on the Chayn platform, but may not earn any Chayn tokens for using them. These tags may have a light orange background so they stand out from non-Protected Sentiment Tags and Claimed Sentiment Tags that are protected. These tags may not have smart contracts attached to them. Further, the users may not be able to buy/sell/trade the unclaimed Protected Sentiment Tags in the Chayn decentralized exchange.

Further, the disclosed system may be associated with Non-Protected Sentiment Tags. The Non-Protected Sentiment Tags are +Praisetags, -Bashtags, and /Slashtags that may not be closely associated with trademarks, well-known entities, products, or individuals. Each +Praisetag, -Bashtag, and /Slashtag may have a smart contract attached to it and a total supply available to buy/sell/swap. The smart contract may reduce the total supply of each +Praisetag, -Bashtag, and /Slashtag by a specified percentage for every transaction (buy/sell/swap) of said +Praisetag, -Bashtag, and /slashtag. Also, a 5.5% fee may be charged for every transaction (buy/sell/swap) which may be executed by a smart contract. The 5.5% fee may be distributed as revenue to the Chayn platform and sites/platforms that use the Chayn API to support the Non-Protected Sentiment Tags on their platforms. The Chayn platform may receive 3.5% per transaction and sites/platforms that use the Chayn API may receive 2% per transaction.

Further, claiming the sentiment tags may be described as a system (such as the disclosed system) that allows users to have ownership of specific sentiment tags. Each sentiment tags may be assigned a unique identifier that may exist indefinitely on the blockchain. Further, the users may be able to cryptographically claim ownership of +Praisetags, -Bashtags, and /Slashtags . In addition, the ownership of the sentiment tags may be timestamped to show when the ownership of a sentiment tag was granted and the time duration of owning the sentiment tag. The users may be able to earn Chayn tokens whenever their claimed sentiment tags are used on the Chayn platform or other platforms that recognize the tag. In other words, if other users use a sentiment tag within a post, whether the post is a comment, picture, review, etc, and the said sentiment tag is owned by another user, the owner of the used sentiment tag may earn additional Chayn tokens. The idea of ownership between the sentiment tags may be valued due to the ability to passively earn Chayn tokens when other users use the said sentiment tag. Other platforms may need to connect to the Chayn ’s API to recognize the tags. In addition, other platforms may also need to be approved to participate in this process. On other platforms, the users may hover over the sentiment tags to see additional data/stats such as the username of the owner of the tag, how many Chayn tokens the tag has earned for the owner, and a "Powered by Chayn ’ link that may direct people to the Chayn platform when clicked.

Tags marketplace may be described as a virtual marketplace found within the Chayn social media platform for sentiment tags. The tags marketplace allows users to buy and sell sentiment tags from Chayn and other users. The +Praisetags, -Bashtags, and /Slashtags may initially be owned by the Chayn platform. The +Praisetags, -Bashtags, and /Slashtags may be priced by the platform and available for members of the Chayn platform to purchase. Each +Praisetag, -Bashtag, and /Slashtag may be limited to a finite amount that may ever be created and available for members to purchase. A member may buy one or more of a single +Praisetag, -Bashtag, and/or /Slashtag. Additionally, a member may buy fractions of a single +Praisetag, -Bashtag, and/or /Slashtag. Example: If a +Praisetag is priced at $150, a member may buy $5 worth of that +Praisetag. A member may also buy multiple +Praisetag, -Bashtag, and/or /Slashtag names available for sale. Multiple people may buy and own the same +Praisetag, -Bashtag, and/or /Slashtag. Members may earn Chayn tokens whenever their owned +Praisetags, -Bashtags, and /Slashtags are used by other members on the Chayn platform or other websites/platforms that recognize the Chayn API. This process may be called Tags Mining. The bigger the amount of a +Praisetag, -Bashtag, and/or /Slashtag a member owns, the more Chayn tokens he may potentially earn. The Chayn platform may track the number of times each +Praisetag, - Bashtag, and /Slashtag is used on the platform as well as external websites/platforms via the Chayn API.

The price of each +Praisetag, -Bashtag, and /Slashtag may fluctuate over time. Initially, the price may be set by the Chayn platform owners. Over time, price discovery may be based on the number of times the +Praisetag, -Bashtag, and /Slashtag is used on the Chayn platform/other platforms as well as the total amount available for sale. The more a +Praisetag, -Bashtag, or /Slashtag is used and the scarcer the tag becomes (availability for purchase of the tag decreases), the higher the price may rise.

Once the available supply for a +Praisetag, -Bashtag, and/or /Slashtag reaches zero and may no longer be sold by the Chayn platform, the tag may get listed on the Chayn exchange section of the Marketplace for members to trade at their discretion on a peer to peer basis. The users may also be able to list their tags for sale in the Tags Marketplace. The Chayn platform may charge a small tax fee for each transaction for economical purposes.

The API mining for Chayn tokens may be described as a typical API within a system. An API is a set of functions and procedures allowing the creation of applications that access the features or data of an operating system, application, or other services. In this case, the API mining for Chayn allows users to earn tokens whenever the Chayn API may be called to interact with the Chayn platform. Only approved website/platform owners may earn Chayn tokens when the Chayn API may be called to interact with the Chayn platform. The calling of API may include memes, sentiment tags, and interacting with the Chayn rating system for things on the internet. Once approved, the platform may need to submit its Chayn wallet address to the smart contract to activate the process of receiving Chayn tokens once the API may be called. The amount of Chayn tokens awarded to websites/platforms may be based on the volume of API calls. The rewards from API calls may be distributed accordingly every three hours.

Submitting and/or claiming memes is described as a system that allows users to create memes and share the meme with the community of the Chayn platform. Further, the users may be able to create memes on the Chayn platform and submit the meme to be reviewed by the Chayn community. The Chayn community may approve the meme that may allow the creator to cryptographically claim ownership of the meme. Submitting and claiming a meme may provide a timestamp of the meme similarly to the timestamps described within sentiment tags. The ownership of the meme may be recorded indefinitely on the blockchain. It is important to note that each meme may be assigned a unique identifier on the blockchain. The owners of the approved memes may have the option to make their memes available for the community to use in posts on the Chayn platform or other platforms that recognize the Chayn API. Owners of the memes may earn Chayn tokens when their memes are used on the Chayn platform or another platform that recognizes the memes through the Chayn API. The reward system for ownership of the memes works similarly to how owners of sentiment tags earn Chayn tokens when other users may be to use their sentiment tags. In addition, other platforms may first need to be approved to participate in the meme ecosystem. The users of the Chayn community may be rewarded with Chayn tokens for approving and/or rejecting memes.

Memes Marketplace may be described as a virtual marketplace found within the Chayn social media platform for memes. The Memes Marketplace allows users to buy and sell memes from other users. The memes may initially be priced by the Chayn platform but may fluctuate over time. Each meme may be limited to a finite amount that may ever be created and available for members to purchase. A member may buy one or more of a single meme. Additionally, a member may buy fractions of a single meme. For instance: If a meme is priced at $150, a member may buy $5 worth of that meme. A member may also buy multiple memes available for sale. Multiple people may buy and own the same meme.

Members may earn Chayn tokens whenever their owned memes are used by other members on the Chayn platform or other websites/platforms that recognize the Chayn API. This process is called Memes Mining. The bigger the amount of a meme a member owns, the more Chayn tokens he would potentially earn. The Chayn platform may track the number of times each meme is used on the platform as well as external websites/platforms via the Chayn API.

The price of each meme may fluctuate over time. Price discovery may be based on the number of times the meme is used on the Chayn platform/other platforms as well as the total amount remaining available for sale. The more a meme is used and the scarcer the meme becomes (the number of memes available for sale decreases), the higher the price may rise. The seller of the memes may be compensated in Chayn tokens. The Chayn platform may charge a small tax fee for each transaction for economical purposes. The ownership of the meme will be processed through a smart contract and recorded on the blockchain indefinitely. Once the available supply for a meme reaches zero and may no longer be sold, the meme may get listed on the Chayn exchange section of the Marketplace for members to trade at their discretion on a peer-to-peer basis.

The Chayn social media platform may have moderators. Moderating the Chayn platform may require some users to volunteer to assist in moderating the social media platform. The users may need to voluntarily apply to become a moderator on the Chayn platform. If the user is approved, the users may earn Chayn tokens for moderating the social media platform. Moderators have a job of making sure the community is cooperating with respect. For example, moderators may be on the lookout for unnecessary interactions such as insulting another user or racial slurs. If the moderator finds it necessary, the moderator may ban or put a user on time out which results in the user being unable to use the social media platform for an extended period. Punishment by the moderators are corresponding to the action of the user. The said example is one example of what a moderator does to a user when the user is not cooperating to social standards.

Advertisers may have the ability to post advertisements on the Chayn social media platform. More specifically, the present invention allows advertisers to post advertisement postings that may be reviewed by the community. The users may earn Chayn tokens for participating in the review process of ads. The ads may either get approved or rejected by the community. There may be an allotted amount of time each ad stays in the review process. Once the time expires, the ad may be approved or rejected. Ads with more approval votes than rejections may get approved. On the other hand, ads with more rejection votes than approval votes may be rejected. Once approved, the advertiser with the approved advertisement may be prompted to send funds to a smart contract and their ad may be visible on the Chayn platform.

In addition, the Chayn platform may offer profit sharing from ad revenue with the users of the platform. The users may be required to provide know your customer (KYC) information to participate in the profit-sharing from ad revenue. The users may also be required to hold a minimum of 500 Chayn tokens in their wallets to be eligible for profit sharing. Chayn ’s advertising revenue, excluding operational expenses, may be shared with users who qualify and participate in profit sharing.

Two concepts of Chayn tokenomics may be applied and utilized to maintain a stable economy for the Chayn tokens. The two concepts are proof of action and the Chayn stable token. The proof of action may be exercised and utilized by the Chayn social media platform. The proof of action algorithm is a hybrid proof of work and proof of stake protocol. The users of the Chayn platform may need to perform actions, such as reading, watching, and voting on content, to earn Chayn tokens. However, instead of miners being rewarded for solving complex problems in a proof of work protocol, Chayn may have validators who confirm transactions and get rewards based on the amount of Chayn tokens the user holds.

The Chayn stable token may be utilized to keep the economic value of Chayn tokens stable and worthwhile. It is known that cryptocurrencies are often volatile and unpredictable which presents a challenge to use them as a medium of exchange. The Chayn token may attempt to offer a measure of price stability by positioning itself as a stable token. To maintain a stable price, the total supply of Chayn tokens may be elastic to correct supply and demand imbalances. By definition, all stable tokens must be backed by a reserve asset, such as gold, silver, real estate, cash, etc. The Chayn stable token may be backed by the actions of the users and revenue generated by the Chayn platform. The end goal is to have a Chayn token pegged to the value of one United States Dollar.

Within the disclosed social media platform, there are numerous ways in which the users of the social media may earn cryptocurrency. One method of earning cryptocurrency from the social media platform is by voting on the web, real-world, and ads. More specifically, voting the web means that the users are rating and reviewing products such as shoes, clothing, books, etc. In addition, voting the real world means that the user is rating and reviewing physical locations of the real world such as restaurants, stores, hotels, parks. Etc. Furthermore, earning cryptocurrency from voting ads simply equates to rating and reviewing advertisement postings seen on the social media platform. Members may also earn tokens by selling claimed sentiment tags. Furthermore, the users may earn Chayn tokens by posting a status update, posting a blog (users may need to apply with Chayn to become a blog/article writer), reading content, watching videos, referring friends to join Chayn, moderating content on Chayn, tipping other users’ post, profit sharing, writing and pushing code to help develop the Chayn platform, providing a KYC information to the Chayn platform, approving/rejecting ads and memes on the Chayn platform.

Furthermore, the Chayn social media platform may also be able to earn tokens. There are various ways and methods in which Chayn earns tokens. Methods of Chayn earning tokens may include small transaction fees when a user buy/sell sentiment tags, ad revenue, users paying a small fee to submit a proposal/new ideas to Chayn, small transaction fee each time a user is rewarded Chayn tokens for their activity on the platform, small transaction fee when a place in the real world earns Chayn tokens, small transaction fee each time a user earns Chayn token through sentiment tags and memes, and small transaction fee each time a website/platform earns Chayn tokens through calling the Chayn API.

FIG. 1 is an illustration of an online platform 100 consistent with various embodiments of the present disclosure. By way of non-limiting example, the online platform 100 to enable monetizing contributions made by users to a social media platform may be hosted on a centralized server 102, such as, for example, a cloud computing service. The centralized server 102 may communicate with other network entities, such as, for example, a mobile device 106 (such as a smartphone, a laptop, a tablet computer, etc.), other electronic devices 110 (such as desktop computers, server computers, etc.), databases 114, and sensors 116 over a communication network 104, such as, but not limited to, the Internet. Further, users of the online platform 100 may include relevant parties such as, but not limited to, endusers, administrators, service providers, service consumers, and so on. Accordingly, in some instances, electronic devices operated by the one or more relevant parties may be in communication with the platform.

A user 112, such as the one or more relevant parties, may access online platform 100 through a web based software application or browser. The web based software application may be embodied as, for example, but not be limited to, a website, a web application, a desktop application, and a mobile application compatible with a computing device 200.

With reference to FIG. 2, a system consistent with an embodiment of the disclosure may include a computing device or cloud service, such as computing device 200. In a basic configuration, computing device 200 may include at least one processing unit 202 and a system memory 204. Depending on the configuration and type of computing device, system memory 204 may comprise, but is not limited to, volatile (e.g., random-access memory (RAM)), non-volatile (e.g., read-only memory (ROM)), flash memory, or any combination. System memory 204 may include operating system 205, one or more programming modules 206, and may include a program data 207. Operating system 205, for example, may be suitable for controlling computing device 200’ s operation. In one embodiment, programming modules 206 may include image-processing module, machine learning module. Furthermore, embodiments of the disclosure may be practiced in conjunction with a graphics library, other operating systems, or any other application program and is not limited to any particular application or system. This basic configuration is illustrated in FIG. 2 by those components within a dashed line 208. Computing device 200 may have additional features or functionality. For example, computing device 200 may also include additional data storage devices (removable and/or non-removable) such as, for example, magnetic disks, optical disks, or tape. Such additional storage is illustrated in FIG. 2 by a removable storage 209 and a non-removable storage 210. Computer storage media may include volatile and non-volatile, removable and nonremovable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules, or other data. System memory 204, removable storage 209, and non-removable storage 210 are all computer storage media examples (i.e., memory storage.) Computer storage media may include, but is not limited to, RAM, ROM, electrically erasable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store information and which can be accessed by computing device 200. Any such computer storage media may be part of device 200. Computing device 200 may also have input device(s) 212 such as a keyboard, a mouse, a pen, a sound input device, a touch input device, a location sensor, a camera, a biometric sensor, etc. Output device(s) 214 such as a display, speakers, a printer, etc. may also be included. The aforementioned devices are examples and others may be used.

Computing device 200 may also contain a communication connection 216 that may allow device 200 to communicate with other computing devices 218, such as over a network in a distributed computing environment, for example, an intranet or the Internet. Communication connection 216 is one example of communication media. Communication media may typically be embodied by computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and includes any information delivery media. The term “modulated data signal” may describe a signal that has one or more characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media may include wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio frequency (RF), infrared, and other wireless media. The term computer readable media as used herein may include both storage media and communication media.

As stated above, a number of program modules and data files may be stored in system memory 204, including operating system 205. While executing on processing unit 202, programming modules 206 (e.g., application 220 such as a media player) may perform processes including, for example, one or more stages of methods, algorithms, systems, applications, servers, databases as described above. The aforementioned process is an example, and processing unit 202 may perform other processes. Other programming modules that may be used in accordance with embodiments of the present disclosure may include machine learning applications.

Generally, consistent with embodiments of the disclosure, program modules may include routines, programs, components, data structures, and other types of structures that may perform particular tasks or that may implement particular abstract data types. Moreover, embodiments of the disclosure may be practiced with other computer system configurations, including hand-held devices, general purpose graphics processor-based systems, multiprocessor systems, microprocessor-based or programmable consumer electronics, application specific integrated circuit-based electronics, minicomputers, mainframe computers, and the like. Embodiments of the disclosure may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.

Furthermore, embodiments of the disclosure may be practiced in an electrical circuit comprising discrete electronic elements, packaged or integrated electronic chips containing logic gates, a circuit utilizing a microprocessor, or on a single chip containing electronic elements or microprocessors. Embodiments of the disclosure may also be practiced using other technologies capable of performing logical operations such as, for example, AND, OR, and NOT, including but not limited to mechanical, optical, fluidic, and quantum technologies. In addition, embodiments of the disclosure may be practiced within a general-purpose computer or in any other circuits or systems.

Embodiments of the disclosure, for example, may be implemented as a computer process (method), a computing system, or as an article of manufacture, such as a computer program product or computer readable media. The computer program product may be a computer storage media readable by a computer system and encoding a computer program of instructions for executing a computer process. The computer program product may also be a propagated signal on a carrier readable by a computing system and encoding a computer program of instructions for executing a computer process. Accordingly, the present disclosure may be embodied in hardware and/or in software (including firmware, resident software, micro-code, etc.). In other words, embodiments of the present disclosure may take the form of a computer program product on a computer-usable or computer-readable storage medium having computer-usable or computer-readable program code embodied in the medium for use by or in connection with an instruction execution system. A computer-usable or computer- readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

The computer-usable or computer-readable medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific computer-readable medium examples (a non-exhaustive list), the computer-readable medium may include the following: an electrical connection having one or more wires, a portable computer diskette, a randomaccess memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CD-ROM). Note that the computer-usable or computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

Embodiments of the present disclosure, for example, are described above with reference to block diagrams and/or operational illustrations of methods, systems, and computer program products according to embodiments of the disclosure. The functions/acts noted in the blocks may occur out of the order as shown in any flowchart. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved.

While certain embodiments of the disclosure have been described, other embodiments may exist. Furthermore, although embodiments of the present disclosure have been described as being associated with data stored in memory and other storage mediums, data can also be stored on or read from other types of computer-readable media, such as secondary storage devices, like hard disks, solid state storage (e.g., USB drive), or a CD-ROM, a carrier wave from the Internet, or other forms of RAM or ROM. Further, the disclosed methods’ stages may be modified in any manner, including by reordering stages and/or inserting or deleting stages, without departing from the disclosure.

FIG. 3 is a flow chart of a method 300 for monetizing contributions made by users to a social media platform, in accordance with some embodiments. Further, the method 300 may include a step 302 of receiving, using a communication device (such as a communication device 1402), one or more contributions made by one or more users from one or more user devices associated with the one or more users. Further, the one or more contributions may be posted on the social media platform. Further, the one or more contributions may include status, blogs, comments, ratings, reviews, posts, articles, votes, etc. Further, the one or more contributions may include rating and review of advertisement postings, products, physical locations, comments, items online, etc. Further, the one or more contributions may include reading, posting, watching videos, voting, rate, and reviewing content online and real-world products and/or location.

Further, the method 300 may include a step 304 of analyzing, using a processing device (such as a processing device 1404), the one or more contributions.

Further, the method 300 may include a step 306 of determining, using the processing device, a value of one or more parameters for the one or more contributions based on the analyzing. Further, the one or more parameters may be used for evaluating the contributions.

Further, the method 300 may include a step 308 of generating, using the processing device, one or more rewards for the one or more contributions based on the determining. Further, the one or more rewards may include one or more amount of cryptocurrency tokens.

Further, the method 300 may include a step 310 of transmitting, using the communication device, the one or more rewards to the one or more user devices associated with the one or more users.

Further, the method 300 may include a step 312 of storing, using a storage device (such as a (such as a storage device 1406), the one or more rewards in a distributed ledger.

FIG. 4 is a flow chart of a method 400 for monetizing contributions made by users to a social media platform in which the method 400 further may include determining an existing state of one or more objects present in the one or more content based on the analyzing of the one or more content, in accordance with some embodiments. Further, at 402, the method 400 may include identifying, using the processing device, one or more content associated with the one or more contributions. Further, the one or more content may include advertisements, videos, audio, articles, posts, etc. Further, the one or more content may be posted on the social media platform. Further, at 404, the method 400 may include analyzing, using the processing device, the one or more content. Further, at 406, the method 400 may include determining, using the processing device, an existing state of one or more objects present in the one or more content based on the analyzing of the one or more content. Further, the one or more objects may include items, articles, places, etc. Further, the existing state may indicate an existing of the one or more objects. Further, the existing of the one or more objects may be real or a virtual. Further, the determining of the value of the one or more parameters may be based on the determining of the existing state of the one or more objects present in the one or more content.

FIG. 5 is a flow chart of a method 500 for monetizing contributions made by users to a social media platform in which the method 500 further may include determining a similarity between the one or more user locations and the one or more content locations based on the analyzing of the one or more content and the one or more contributions, in accordance with some embodiments. Further, the one or more user devices may include one or more location sensors the one or more location sensors may be configured for generating one or more user location data based on a location of the one or more users the one or more contributions may include the one or more user location data the one or more content associated with one or more content locations the one or more contributions may be associated with the one or more content. Further, the method 500 may include a step 502 of analyzing, using the processing device, the one or more content and the one or more contributions. Further, the analyzing of the one or more content and the one or more contributions may include comparing the one or more content locations with the one or more user locations. Further, the method 500 may include a step 504 of determining, using the processing device, a similarity between the one or more user locations and the one or more content locations based on the analyzing of the one or more content and the one or more contributions. Further, the determining of the value for the one or more parameters may be based on the determining of the similarity.

FIG. 6 is a flow chart of a method 600 for monetizing contributions made by users to a social media platform in which the method 600 further may include storing one or more possessionable object information in the distributed ledger, in accordance with some embodiments. Further, at 602, the method 600 may include receiving, using the communication device, one or more ownership claims of one or more possessionable objects from one or more owner devices associated with one or more owners. Further, the one or more possessionable objects may include a meme, a tag, a sentiment tag, etc. Further, at 604, the method 600 may include analyzing, using the processing device, the one or more ownership claims. Further, at 606, the method 600 may include determining, using the processing device, an ownership of the one or more possessionable objects based on the analyzing of the one or more ownership claims. Further, at 608, the method 600 may include generating, using the processing device, one or more possessionable object information of the one or more possessionable objects based on the determining of the ownership. Further, the one or more possessionable object information may include one or more ownership identifiers indicating the ownership of the one or more possessionable objects. Further, the one or more ownership identifiers may include a name, a number, etc. of the one or more owners. Further, at 610, the method 600 may include storing, using the storage device, the one or more possessionable object information in the distributed ledger.

FIG. 7 is a flow chart of a method 700 for monetizing contributions made by users to a social media platform in which the method 700 further may include processing a transaction of the one or more first possessionable objects for a fee to the one or more users using the payment information based on the determining of the fee, in accordance with some embodiments. Further, at 702, the method 700 may include identifying, using the processing device, one or more first possessionable objects present in the one or more contributions based on the analyzing of the one or more contributions. Further, at 704, the method 700 may include retrieving, using the storage device, one or more first possessionable object information associated with the one or more first possessionable objects from the distributed ledger based on the identifying of the one or more first possessionable objects. Further, at 706, the method 700 may include analyzing, using the processing device, the one or more first possessionable object information. Further, at 708, the method 700 may include determining, using the processing device, a fee for the one or more first possessionable objects based on the analyzing of the one or more first possessionable object information. Further, at 710, the method 700 may include receiving, using the communication device, payment information associated with the one or more users from the one or more user devices. Further, at 712, the method 700 may include processing, using the processing device, a transaction of the one or more first possessionable objects for the fee to the one or more users using the payment information based on the determining of the fee. Further, posting of the one or more contributions on the social media platform may be based on the transaction of the one or more first possessionable objects.

FIG. 8 is a flow chart of a method 800 for monetizing contributions made by users to a social media platform in which the method 800 further may include transmitting a profit to one or more first owner devices associated with the one or more first owners, in accordance with some embodiments. Further, at 802, the method 800 may include identifying, using the processing device, one or more first owners of the one or more first possessionable objects based on the analyzing of the one or more first possessionable object information. Further, at 804, the method 800 may include determining, using the processing device, a profit for the one or more first owners based on the identifying of the one or more first owners and the fee. Further, at 806, the method 800 may include transmitting, using the communication device, the profit to one or more first owner devices associated with the one or more first owners.

FIG. 9 is a flow chart of a method 900 for monetizing contributions made by users to a social media platform in which the method 900 further may include determining an availability of the one or more first possessionable objects for use in the one or more contributions based on the analyzing of the one or more first possessionable object information, in accordance with some embodiments. FIG. 10 is a continuation flow chart of FIG. 9. The method 900 includes steps 302-312 explained in detail in conjunction with FIG. 3 above. Further, at 902, the method 900 may include determining, using the processing device, an availability of the one or more first possessionable objects for use in the one or more contributions based on the analyzing of the one or more first possessionable object information. Further, the determining of the fee of the one or more first possessionable objects may be based on the determining of the availability.

FIG. 11 is a flow chart of a method 1100 for monetizing contributions made by users to a social media platform in which the method 1100 further may include determining an approval of the one or more contributions based on the analyzing of the two or more votes, in accordance with some embodiments. Further, at 1102, the method 1100 may include receiving, using the communication device, two or more votes for the one or more contributions from two or more user devices associated with two or more users. Further, the two or more votes may include a positive vote and a negative vote. Further, at 1104, the method 1100 may include analyzing, using the processing device, the two or more votes. Further, at 1106, the method 1100 may include determining, using the processing device, an approval of the one or more contributions based on the analyzing of the two or more votes. Further, the determining of the value of the one or more parameters for the one or more contributions may be based on the determining of the approval of the one or more contributions.

FIG. 12 is a flow chart of a method 1200 for monetizing contributions made by users to a social media platform in which the method 1200 further may include determining a rank of the one or more contributions based on the determining of a quality, in accordance with some embodiments. Further, at 1202, the method 1200 may include determining, using the processing device, a quality of the one or more contributions based on the analyzing of the two or more votes. Further, at 1204, the method 1200 may include determining, using the processing device, a rank of the one or more contributions based on the determining of the quality. Further, the generating of the one or more rewards for the one or more contributions may be based on the determining of the rank.

FIG. 13 is a flow chart of a method 1300 for monetizing contributions made by users to a social media platform in which the method 1300 further may include determining a user rank of the one or more users based on the determining of a user activity, in accordance with some embodiments. Further, at 1302, the method 1300 may include retrieving, using the storage device, one or more user information associated with the one or more users from the distributed ledger. Further, the one or more user information may include one or more previous rewards earned by the one or more users for one or more previous contributions posted by the one or more users on the social media platform. Further, at 1304, the method 1300 may include analyzing, using the processing device, the one or more user information. Further, at 1306, the method 1300 may include determining, using the processing device, a user activity of the one or more users on the social media platform based on the analyzing of the one or more user information. Further, at 1308, the method 1300 may include determining, using the processing device, a user rank of the one or more users based on the determining of the user activity. Further, the generating of the one or more rewards for the one or more contributions may be based on the determining of the user rank.

FIG. 14 is a block diagram of a system 1400 for monetizing contributions made by users to a social media platform, in accordance with some embodiments. The system 1400 may include a communication device 1402, a processing device 1404, and a storage device 1406.

Further, the communication device 1402 may be configured for performing a step of receiving one or more contributions made by one or more users from one or more user devices associated with the one or more users. Further, the one or more contributions may be posted on the social media platform.

Further, the communication device 1402 may be configured for performing a step of transmitting one or more rewards to the one or more user devices associated with the one or more users.

The processing device 1404 may be communicatively coupled with the communication device 1402.

Further, the processing device 1404 may be configured for performing a step of analyzing the one or more contributions.

Further, the processing device 1404 may be configured for performing a step of determining a value of one or more parameters for the one or more contributions based on the analyzing. Further, the one or more parameters may be used for evaluating the contributions. Further, the processing device 1404 may be configured for performing a step of generating the one or more rewards for the one or more contributions based on the determining. Further, the one or more rewards may include one or more amount of cryptocurrency tokens.

The storage device 1406 may be communicatively coupled with the processing device 1404.

Further, the storage device 1406 may be configured for performing a step of storing the one or more rewards in a distributed ledger.

In some embodiments, the processing device 1404 may be configured for performing a step of identifying one or more content associated with the one or more contributions. Further, the one or more content may be posted on the social media platform. Further, the processing device 1404 may be configured for performing a step of analyzing the one or more content. Further, the processing device 1404 may be configured for performing a step of determining an existing state of one or more objects present in the one or more content based on the analyzing of the one or more content. Further, the determining of the value of the one or more parameters may be based on the determining of the existing state of the one or more objects present in the one or more content.

In some embodiments, the one or more user devices may include one or more location sensors. Further, the one or more location sensors may be configured for generating one or more user location data based on a location of the one or more users. Further, the one or more contributions may include the one or more user location data. Further, the one or more content may be associated with one or more content locations. Further, the one or more contributions may be associated with the one or more content. Further, the processing device 1404 may be configured for performing a step of analyzing the one or more content and the one or more contributions. Further, the analyzing of the one or more content and the one or more contributions may include comparing the one or more content locations with the one or more user locations. Further, the processing device 1404 may be configured for performing a step of determining a similarity between the one or more user locations and the one or more content locations based on the analyzing of the one or more content and the one or more contributions. Further, the determining of the value for the one or more parameters may be based on the determining of the similarity.

In some embodiments, the communication device 1402 may be configured for performing a step of receiving one or more ownership claims of one or more possessionable objects from one or more owner devices associated with one or more owners. Further, the processing device 1404 may be configured for performing a step of analyzing the one or more ownership claims. Further, the processing device 1404 may be configured for performing a step of determining an ownership of the one or more possess! onable objects based on the analyzing of the one or more ownership claims. Further, the processing device 1404 may be configured for performing a step of generating one or more possess! onable object information of the one or more possess! onable objects based on the determining of the ownership. Further, the one or more possess! onable object information may include one or more ownership identifiers indicating the ownership of the one or more possessionable objects. Further, the storage device 1406 may be configured for performing a step of storing the one or more possessionable object information in the distributed ledger.

In some embodiments, the processing device 1404 may be configured for performing a step of identifying one or more first possessionable objects present in the one or more contributions based on the analyzing of the one or more contributions. Further, the processing device 1404 may be configured for performing a step of analyzing one or more first possessionable object information associated with the one or more first possessionable objects. Further, the processing device 1404 may be configured for performing a step of determining a fee for the one or more first possessionable objects based on the analyzing of the one or more first possessionable object information. Further, the processing device 1404 may be configured for performing a step of processing a transaction of the one or more first possessionable objects for the fee to the one or more users using payment information based on the determining of the fee. Further, posting of the one or more contributions on the social media platform may be based on the transaction of the one or more first possessionable objects. Further, the storage device 1406 may be configured for performing a step of retrieving the one or more first possessionable object information associated with the one or more first possessionable objects from the distributed ledger based on the identifying of the one or more first possessionable objects. Further, the communication device 1402 may be configured for performing a step of receiving the payment information associated with the one or more users from the one or more user devices.

In some embodiments, the processing device 1404 may be configured for performing a step of identifying one or more first owners of the one or more first possessionable objects based on the analyzing of the one or more first possessionable object information. Further, the processing device 1404 may be configured for performing a step of determining a profit for the one or more first owners based on the identifying of the one or more first owners and the fee. Further, the communication device 1402 may be configured for performing a step of transmitting the profit to one or more first owner devices associated with the one or more first owners.

In some embodiments, the processing device 1404 may be configured for performing a step of determining an availability of the one or more first possess! onable objects for use in the one or more contributions based on the analyzing of the one or more first possessionable object information. Further, the determining of the fee of the one or more first possessionable objects may be based on the determining of the availability.

In some embodiments, the communication device 1402 may be configured for performing a step of receiving two or more votes for the one or more contributions from two or more user devices associated with two or more users. Further, the processing device 1404 may be configured for performing a step of analyzing the two or more votes. Further, the processing device 1404 may be configured for performing a step of determining an approval of the one or more contributions based on the analyzing of the two or more votes. Further, the determining of the value of the one or more parameters for the one or more contributions may be based on the determining of the approval of the one or more contributions.

In some embodiments, the processing device 1404 may be configured for performing a step of determining a quality of the one or more contributions based on the analyzing of the two or more votes. Further, the processing device 1404 may be configured for performing a step of determining a rank of the one or more contributions based on the determining of the quality. Further, the generating of the one or more rewards for the one or more contributions may be based on the determining of the rank.

In some embodiments, the storage device 1406 may be configured for performing a step of retrieving one or more user information associated with the one or more users from the distributed ledger. Further, the one or more user information may include one or more previous rewards earned by the one or more users for one or more previous contributions posted by the one or more users on the social media platform. Further, the processing device 1404 may be configured for performing a step of analyzing the one or more user information. Further, the processing device 1404 may be configured for performing a step of determining a user activity of the one or more users on the social media platform based on the analyzing of the one or more user information. Further, the processing device 1404 may be configured for performing a step of determining a user rank of the one or more users based on the determining of the user activity. Further, the generating of the one or more rewards for the one or more contributions may be based on the determining of the user rank. Although the present disclosure has been explained in relation to its preferred embodiment, it is to be understood that many other possible modifications and variations can be made without departing from the spirit and scope of the disclosure.

Claims

What is claimed is:

1. A method for monetizing contributions made by users to a social media platform, the method comprising: receiving, using a communication device, one or more contributions made by one or more users from one or more user devices associated with the one or more users, wherein the one or more contributions is posted on the social media platform; analyzing, using a processing device, the one or more contributions; determining, using the processing device, a value of one or more parameters for the one or more contributions based on the analyzing, wherein the one or more parameters is used for evaluating the contributions; generating, using the processing device, one or more rewards for the one or more contributions based on the determining, wherein the one or more rewards comprises one or more amount of cryptocurrency tokens; transmitting, using the communication device, the one or more rewards to the one or more user devices associated with the one or more users; and storing, using a storage device, the one or more rewards in a distributed ledger.

2. The method of claim 1 further comprising: identifying, using the processing device, one or more content associated with the one or more contributions, wherein the one or more content is posted on the social media platform; analyzing, using the processing device, the one or more content; and determining, using the processing device, an existing state of one or more objects present in the one or more content based on the analyzing of the one or more content, wherein the determining of the value of the one or more parameters is further based on the determining of the existing state of the one or more objects present in the one or more content.

3. The method of claim 2, wherein the one or more user devices comprises one or more location sensors, wherein the one or more location sensors is configured for generating one or more user location data based on a location of the one or more users, wherein the one or more contributions comprises the one or more user location data, wherein the one or more content associated with one or more content locations,

33 wherein the one or more contributions is associated with the one or more content, wherein the method further comprises: analyzing, using the processing device, the one or more content and the one or more contributions, wherein the analyzing of the one or more content and the one or more contributions comprises comparing the one or more content locations with the one or more user locations; and determining, using the processing device, a similarity between the one or more user locations and the one or more content locations based on the analyzing of the one or more content and the one or more contributions, wherein the determining of the value for the one or more parameters is further based on the determining of the similarity. The method of claim 1 further comprising: receiving, using the communication device, one or more ownership claims of one or more possessionable objects from one or more owner devices associated with one or more owners; analyzing, using the processing device, the one or more ownership claims; determining, using the processing device, an ownership of the one or more possessionable objects based on the analyzing of the one or more ownership claims; generating, using the processing device, one or more possessionable object information of the one or more possessionable objects based on the determining of the ownership, wherein the one or more possessionable object information comprises one or more ownership identifiers indicating the ownership of the one or more possessionable objects; and storing, using the storage device, the one or more possessionable object information in the distributed ledger. The method of claim 4 further comprises: identifying, using the processing device, one or more first possessionable objects present in the one or more contributions based on the analyzing of the one or more contributions; retrieving, using the storage device, one or more first possessionable object information associated with the one or more first possessionable objects from the

34 distributed ledger based on the identifying of the one or more first possessionable objects; analyzing, using the processing device, the one or more first possessionable object information; determining, using the processing device, a fee for the one or more first possessionable objects based on the analyzing of the one or more first possessionable object information; receiving, using the communication device, payment information associated with the one or more users from the one or more user devices; and processing, using the processing device, a transaction of the one or more first possessionable objects for the fee to the one or more users using the payment information based on the determining of the fee, wherein posting of the one or more contributions on the social media platform is based on the transaction of the one or more first possessionable objects. The method of claim 5 further comprises: identifying, using the processing device, one or more first owners of the one or more first possessionable objects based on the analyzing of the one or more first possessionable object information; determining, using the processing device, a profit for the one or more first owners based on the identifying of the one or more first owners and the fee; and transmitting, using the communication device, the profit to one or more first owner devices associated with the one or more first owners. The method of claim 5 further comprising determining, using the processing device, an availability of the one or more first possessionable objects for use in the one or more contributions based on the analyzing of the one or more first possessionable object information, wherein the determining of the fee of the one or more first possessionable objects is further based on the determining of the availability. The method of claim 1 further comprising: receiving, using the communication device, a plurality of votes for the one or more contributions from a plurality of user devices associated with a plurality of users; analyzing, using the processing device, the plurality of votes; and determining, using the processing device, an approval of the one or more contributions based on the analyzing of the plurality of votes, wherein the determining of the value of the one or more parameters for the one or more contributions is further based on the determining of the approval of the one or more contributions.

9. The method of claim 8 further comprising: determining, using the processing device, a quality of the one or more contributions based on the analyzing of the plurality of votes; and determining, using the processing device, a rank of the one or more contributions based on the determining of the quality, wherein the generating of the one or more rewards for the one or more contributions is further based on the determining of the rank.

10. The method of claim 1 further comprising: retrieving, using the storage device, one or more user information associated with the one or more users from the distributed ledger, wherein the one or more user information comprises one or more previous rewards earned by the one or more users for one or more previous contributions posted by the one or more users on the social media platform; analyzing, using the processing device, the one or more user information; determining, using the processing device, a user activity of the one or more users on the social media platform based on the analyzing of the one or more user information; and determining, using the processing device, a user rank of the one or more users based on the determining of the user activity, wherein the generating of the one or more rewards for the one or more contributions is further based on the determining of the user rank.

11. A system for monetizing contributions made by users to a social media platform, the system comprising: a communication device configured for: receiving one or more contributions made by one or more users from one or more user devices associated with the one or more users, wherein the one or more contributions is posted on the social media platform; and transmitting one or more rewards to the one or more user devices associated with the one or more users; a processing device communicatively coupled with the communication device, wherein the processing device is configured for: analyzing the one or more contributions; determining a value of one or more parameters for the one or more contributions based on the analyzing, wherein the one or more parameters is used for evaluating the contributions; and generating the one or more rewards for the one or more contributions based on the determining, wherein the one or more rewards comprises one or more amount of cryptocurrency tokens; and a storage device communicatively coupled with the processing device, wherein the storage device is configured for storing the one or more rewards in a distributed ledger. The system of claim 11, wherein the processing device is further configured for: identifying one or more content associated with the one or more contributions, wherein the one or more content is posted on the social media platform; analyzing the one or more content; and determining an existing state of one or more objects present in the one or more content based on the analyzing of the one or more content, wherein the determining of the value of the one or more parameters is further based on the determining of the existing state of the one or more objects present in the one or more content. The system of claim 12, wherein the one or more user devices comprises one or more location sensors, wherein the one or more location sensors is configured for generating one or more user location data based on a location of the one or more users, wherein the one or more contributions comprises the one or more user location data, wherein the one or more content is associated with one or more content locations, wherein the one or more contributions is associated with the one or more content, wherein the processing device is further configured for:

37 analyzing the one or more content and the one or more contributions, wherein the analyzing of the one or more content and the one or more contributions comprises comparing the one or more content locations with the one or more user locations; and determining a similarity between the one or more user locations and the one or more content locations based on the analyzing of the one or more content and the one or more contributions, wherein the determining of the value for the one or more parameters is further based on the determining of the similarity. The system of claim 11, wherein the communication device is further configured for receiving one or more ownership claims of one or more possess! onable objects from one or more owner devices associated with one or more owners, wherein the processing device is further configured for: analyzing the one or more ownership claims; determining an ownership of the one or more possessionable objects based on the analyzing of the one or more ownership claims; and generating one or more possessionable object information of the one or more possessionable objects based on the determining of the ownership, wherein the one or more possessionable object information comprises one or more ownership identifiers indicating the ownership of the one or more possessionable objects, wherein the storage device is further configured for storing the one or more possessionable object information in the distributed ledger. The system of claim 14, wherein the processing device is further configured for: identifying one or more first possessionable objects present in the one or more contributions based on the analyzing of the one or more contributions; analyzing one or more first possessionable object information associated with the one or more first possessionable objects; determining a fee for the one or more first possessionable objects based on the analyzing of the one or more first possessionable object information; and processing a transaction of the one or more first possessionable objects for the fee to the one or more users using payment information based on the determining of the fee, wherein posting of the one or more contributions on the social media platform is based on the transaction of the one or more first possessionable objects, wherein the storage device is further configured for retrieving the one or more first possessionable

38 object information associated with the one or more first possessionable objects from the distributed ledger based on the identifying of the one or more first possessionable objects, wherein the communication device is further configured for receiving the payment information associated with the one or more users from the one or more user devices. The system of claim 15, wherein the processing device is further configured for: identifying one or more first owners of the one or more first possessionable objects based on the analyzing of the one or more first possessionable object information; and determining a profit for the one or more first owners based on the identifying of the one or more first owners and the fee, wherein the communication device is further configured for transmitting the profit to one or more first owner devices associated with the one or more first owners. The system of claim 15, wherein the processing device is further configured for determining an availability of the one or more first possessionable objects for use in the one or more contributions based on the analyzing of the one or more first possessionable object information, wherein the determining of the fee of the one or more first possessionable objects is further based on the determining of the availability. The system of claim 11, wherein the communication device is further configured for receiving a plurality of votes for the one or more contributions from a plurality of user devices associated with a plurality of users, wherein the processing device is further configured for: analyzing the plurality of votes; and determining an approval of the one or more contributions based on the analyzing of the plurality of votes, wherein the determining of the value of the one or more parameters for the one or more contributions is further based on the determining of the approval of the one or more contributions. The system of claim 18, wherein the processing device is further configured for:

39 determining a quality of the one or more contributions based on the analyzing of the plurality of votes; and determining a rank of the one or more contributions based on the determining of the quality, wherein the generating of the one or more rewards for the one or more contributions is further based on the determining of the rank. The system of claim 11, wherein the storage device is further configured for retrieving one or more user information associated with the one or more users from the distributed ledger, wherein the one or more user information comprises one or more previous rewards earned by the one or more users for one or more previous contributions posted by the one or more users on the social media platform, wherein the processing device is further configured for: analyzing the one or more user information; determining a user activity of the one or more users on the social media platform based on the analyzing of the one or more user information; and determining a user rank of the one or more users based on the determining of the user activity, wherein the generating of the one or more rewards for the one or more contributions is further based on the determining of the user rank.

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