WO2012171073A1 - Surveillance de média social - Google Patents

Surveillance de média social Download PDF

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Publication number
WO2012171073A1
WO2012171073A1 PCT/AU2012/000694 AU2012000694W WO2012171073A1 WO 2012171073 A1 WO2012171073 A1 WO 2012171073A1 AU 2012000694 W AU2012000694 W AU 2012000694W WO 2012171073 A1 WO2012171073 A1 WO 2012171073A1
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WO
WIPO (PCT)
Prior art keywords
post
posts
social media
user interface
display
Prior art date
Application number
PCT/AU2012/000694
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English (en)
Inventor
Stephen Si-En WAN
Cécile Laurence PARIS
Andrew Gall
Original Assignee
Commonwealth Scientific And Industrial Research Organisation
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from AU2011902354A external-priority patent/AU2011902354A0/en
Application filed by Commonwealth Scientific And Industrial Research Organisation filed Critical Commonwealth Scientific And Industrial Research Organisation
Publication of WO2012171073A1 publication Critical patent/WO2012171073A1/fr

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9536Search customisation based on social or collaborative filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/951Indexing; Web crawling techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking

Definitions

  • the present invention relates to a social media search process and system, including methods, systems and computer readable media for retrieving and displaying information retrieved from one or more sources accessible through a data network (for example, social media sites or feeds accessible through the Internet) in response to the reception of a set of search criteria.
  • a data network for example, social media sites or feeds accessible through the Internet
  • the Internet and more particularly the World Wide Web, is increasingly used as a mechanism for people to express their opinion and views, and to provide information.
  • sites on the World Wide Web were created by technically proficient individuals, or businesses, and users of the World Wide Web were able to visit those sites to obtain information or contact or conduct commerce with the individuals or businesses to which the sites related.
  • web logging (“blogging") and discussion forum platforms has facilitated the generation of hosted content by individual (and not necessarily technically proficient) web users.
  • Content generation by individuals has also increased with the increased use of social networking sites such as Facebook and Linkedln, and microblogging platforms such as Twitter.
  • Such platforms and sites are generally collectively known as "social media", a key characteristic of which is that ordinary users of the Internet are not just consumers but also producers of information.
  • nontextual data such as videos and geographical location information
  • meta-data related to existing data or resources can take a variety of forms, including nontextual data such as videos and geographical location information, and meta-data related to existing data or resources.
  • post refers to any form of user submission (which may include one or more non-textual resources, such as images, videos, and/or other media files and the like, and/or links to such non-textual resources), including a conventional "post” such as an entry in/submission to a discussion forum, bulletin board, or blog, or a social media site such as facebook, myspace, Foursquare and the like, and also a microblog entry (e.g.
  • any such submission submitted by a user of a communications network is considered to be a "post".
  • the textual content of such submissions can include metadata of the post, whether provided by the user or otherwise, and in some instances (particularly where the submission content itself is non-textual (e.g. , a submission to an image sharing site where the iiser might not provide any textual content), the metadata may be the only textual content of a post.
  • the analysis of posts can provide useful information. For example, posts (or other social media information) can enable an organisation to: i. Obtain an overview of social perspectives, including:
  • a specific social media platform for example, Twitter
  • a search is then conducted on the selected platform, either using an Application Programming Interface or search tool provided by the platform, or through an external search facility.
  • Posts relevant to the search query are identified, retrieved and presented to the user as respective search results.
  • Standard methods for identifying content relevant to a search query are known to persons of skill in the art, and will not be further described here.
  • the displayed search results must be manually filtered to choose which content to analyse further. To remove irrelevant data, a user must manually sift through the displayed search results and discard irrelevant material. This is done by actively selecting individual posts and refining queries, processes which can be tedious and time consuming.
  • social media products are oriented towards specific tasks such as the retrieval of information on the web, or sentiment analysis, rather than directly supporting a more general social media monitoring activity.
  • a social media search process including:
  • social media data representing posts submitted to said social media platforms by users of said social media platforms, said posts including at least one first post corresponding to said search criteria
  • processing the social media data to determine, for each said first post, one or more corresponding second posts related to said first post;
  • processing the discussion data to generate display data representing said groups of posts in an interactive user interface for display to a user.
  • said processing of said social media data includes parsing said social media data to identify at least one post that is responsive to the first post or to which the first post is responsive, the identified at least one post providing at least one of said corresponding second posts.
  • said processing of said social media data includes parsing said social media data to identify at least one post that includes a link to the first post or which is linked to by the first post, the identified at least one post providing at least one of said corresponding second posts.
  • said processing of said social media data includes applying a clustering method to textual content of posts to identify at least one post that is related to the first post, the identified at least one post providing at least one of said corresponding second posts.
  • said processing of said social media data includes comparing one or more tags associated with each first post to one or more tags associated with other posts to identify at least one post whose tags are related to the tags of the first post, the identified at least one post providing at least one of said corresponding second posts.
  • said processing of said social media data includes identifying at least one post corresponding to said search criteria, the identified at least one post providing at least one of said corresponding second posts.
  • said interactive user interface includes at least one interactive control that is selectable by a user to select one of a plurality of methods of ordering said groups in said interactive user interface.
  • said interactive user interface includes at least one interactive control that is selectable by a user to display or hide a corresponding first post of at least one of said groups. In some embodiments, said interactive user interface includes at least one interactive control that is selectable by a user to display or hide the one or more second posts of at least one of said groups.
  • said interactive user interface includes at least one interactive control that is selectable by a user to display or hide the first and second posts of at least one of said groups.
  • said interactive user interface includes information relating to the first post together with an indication that information relating to one or more secondary posts is available for display; and an interactive control that is selectable by a user to display or hide the information relating to the one or more secondary posts.
  • said interactive user interface includes summary data for each displayed group, said summary data including, for each said group, a title, a text summary, and a time associated with the posts of the group.
  • said summary data includes, for each said group, one or more identifiers of respective social media platforms from which the posts of the group were retrieved.
  • said interactive user interface is configured to display information relating to the first and secondary posts, including at least one of:
  • said interactive user interface is configured to display information relating to the first post and the one or more secondary posts in a manner that indicates a relationship between the first post and the one or more secondary posts. In some embodiments, said relationship is indicated by spatially positioning the second posts substantially adjacent to the first post.
  • said relationship is indicated by displaying a graphical connector element indicating a connection between the first post and the second posts.
  • said interactive user interface is configured to display, for each displayed post, an identifier of the corresponding social media platform from which the post was retrieved.
  • said interactive user interface includes one or more interactive controls selectable by a user to initiate respective actions in relation to a corresponding post or group of posts.
  • said actions include:
  • the at least one first post and the related one or more second posts were submitted to a plurality of social media platforms.
  • a social media search system including one or more modules configured to perform any one of the above processes.
  • a computer-readable storage medium having stored thereon processor-executable instructions that, when executed by at least one processor, cause the processor to execute any one of the above processes.
  • Also described herein is a method for retrieving and displaying information accessible through a data network in response to a set of search criteria, the method including the steps of
  • Each of the first post and the one or more secondary posts may be associated with times indicating when the posts were generated, and the step of displaying information relating to the first post and the one or more secondary posts may include the step of ordering information for display in dependence upon the times.
  • the step of displaying information relating to the first post and the one or more secondary posts may include the steps of:
  • the information relating to the first post and the information relating to the one or more secondary posts may include at least one of:
  • the step of displaying information relating to the first post and the one or more secondary posts may include displaying the information in a manner which indicates a relationship between the first post and the one or more secondary posts.
  • Also described herein is a method for retrieving and displaying information accessible through a data network in response to the reception of a set of search criteria, the method including the steps of:
  • the step of displaying the first post and the second post may include the step of spatially positioning the second post substantially adjacent to the first post.
  • the step of displaying the first post and the second post may include the step of displaying a graphical connector element indicating a connection between the first post and the second post.
  • the step of displaying the first post and the second post may include the step of displaying an identification of the source from which the first post was retrieved, and an indication of the source from which the second post was retrieved. Also described herein is a method for retrieving and displaying information from one or more sources accessible through a data network in response to the reception of a set of search criteria, the method including the steps of:
  • the steps of associating a first one or more tags with the first post and associating a second one or more tags with the second post may include the steps of parsing the first post and the second post and automatically associating one or more tags with the first post based on the content of the first post, and automatically associating one or more tags with the second post based on the content of the second post.
  • the steps of associating a first one or more tags with the first post and associating a second one or more tags with the second post may be executed in accordance with user-generated instructions.
  • the first post may be retrieved from a first source and the second post may be retrieved from a second source, and the first source may be different from the second source.
  • the step of displaying the first post and the second post may include the step of spatially positioning the first post substantially adjacent to the second post.
  • the step of displaying the first post and the second post may include the step of displaying a graphical connector element indicating a connection between the first post and the second post.
  • Each of the first post and second post may be associated with a source, and the step of displaying the first post and the second post may include the step of displaying an identification of the source associated with each of the first post and the second post.
  • the method may further include the steps of:
  • each of the one or more action controls corresponding to an action that may be taken in relation to a post or group of posts;
  • the one or selectable action controls may correspond to one or more of:
  • Also described herein is a system for retrieving and displaying information from one or more sources accessible through a data network in response to the reception of a set of search criteria, the system including means for executing the steps recited in any one of the preceding claims.
  • Figure 1 is a flow diagram of a social media search process in accordance with some embodiments of the present invention.
  • Figure 2 is a block diagram of a social media search system that executes the social media search process
  • Figure 3 is an illustration of an interactive user interface generated by the social media search process, and in which a user can alter the sort order of discussions and posts displayed in response to a search query;
  • Figure 4 is a further illustration of the interface of Figure 3, illustrating a connection between a post and a discussion.
  • Figure 5 is a further illustration of the interface of Figure 3, illustrating the use of tags and action items with posts and discussions.
  • textual content is generated by users of the Internet by means of "posts" on social media platforms.
  • posts respond to other posts (as in the case of discussion forums and some bulletin boards)
  • a collection of related posts is often referred to as a "thread".
  • a "thread” is often a construct of the underlying platform, and a single "thread” may contain posts on divergent subjects. For example, an initial post relating to the computer hardware and software manufacturer Apple, Inc. may spark a thread of responses, some of which relate to Apple products, others of which may relate to Apple's business practices.
  • the content of the posts may relate to divergent topics of limited (and sometimes no) relevance to one other.
  • Posts that relate to the same or similar subject matter and are posted as replies to an originating post can be considered to constitute a "discussion".
  • the described embodiments of the present invention include a process and system that identify social media platform posts that are either directly relevant to one or more user- supplied search criteria and/or are associated with at least one post that is directly relevant to those criteria. These posts are then aggregated into discussions and displayed to the user in an intuitive and easy to use interactive user interface that allows users to review and explore the resulting discussions.
  • a discussion can include posts that relate to the same subject matter, and/or are responsive to each other, regardless of whether the posts are in a single social media site or platform, or disparate sites or platforms.
  • the described embodiments include a process for retrieving and displaying information from one or more sources, such as social media platforms, accessible through a communications network, in a manner which allows the user of the present invention to have a discussion-based view of relevant social-media information, and not simply an isolated post-based view.
  • the process includes receiving one or more search criteria from a user at step 102.
  • the search criteria are applied to one or more social media platforms 106 to identify at least one 'post' including content relevant to the search criteria.
  • the search criteria may include one or more search terms and may also include one or more criteria not related to the content of posts, such as the time of creation (e.g. , within the last 12 hours) and/or limiting the number of results ⁇ e.g. , the most recent 100 results), for example.
  • the time of creation e.g. , within the last 12 hours
  • limiting the number of results e.g. , the most recent 100 results
  • embodiments of the present invention are described herein with reference to a single search term. However, it will be apparent to those skilled in the art that it is a trivial matter to perform searches using one or more additional search terms and/or other search criteria.
  • the search results are then processed to aggregate posts into 'discussions' relevant to the search criteria.
  • display data representing an interactive user interface for displaying the resulting discussions to a user is generated at step 1 10.
  • the user can interact with the user interface to review and explore the discussions.
  • the system is a standard computer system such as an 32-bit or 64-bit Intel Architecture based computer system, as shown in Figure 2, and the described processes are implemented in the form of programming instructions of one or more software modules 202 stored on non-volatile (e.g., hard disk or solid-state drive) storage 204 associated with the computer system, as shown in Figure 2.
  • non-volatile e.g., hard disk or solid-state drive
  • at least parts of the processes could alternatively be implemented as one or more dedicated hardware components, such as application-specific integrated circuits (ASICs) and/or field programmable gate arrays (FPGAs), for example.
  • ASICs application-specific integrated circuits
  • FPGAs field programmable gate arrays
  • the system 200 includes standard computer components, including random access memory (RAM) 206, at least one processor 208, and external interfaces 210, 212, 214, all interconnected by a bus 216.
  • the external interfaces include universal serial bus (USB) interfaces 210, at least one of which is optionally connected to a keyboard and a pointing device such as a mouse 218, a network interface connector (NIC) 212 which connects the system 200 to a communications network such as the Internet 220, and a display adapter 214, which is connected to a display device such as an LCD panel display 222.
  • USB universal serial bus
  • NIC network interface connector
  • the system 200 also includes a number of standard software modules 226 to 230, including an operating system 224 such as Linux or Microsoft Windows, web server software 226 such as Apache, available at http://www.apache.org, scripting language support 228 such as PHP, available at http://www.php.net, or Microsoft ASP, and database management software having structured query language (SQL) support 230 such as MySQL, available from http://www.mysql.com, which allows data (including references to posts and discussions) to be stored in and retrieved from an SQL database 232.
  • an operating system 224 such as Linux or Microsoft Windows
  • web server software 226 such as Apache, available at http://www.apache.org
  • scripting language support 228 such as PHP
  • PHP available at http://www.php.net
  • Microsoft ASP database management software having structured query language (SQL) support 230
  • SQL structured query language
  • links to them may be extracted from the html pages generated by internet search engines, from the APIs made available by platforms such as Twitter, from RSS feeds and other known platforms.
  • posts that are determined to be of particular interest may be used to seed further searches to find posts of interest in the future.
  • Sites, such as blogs and the like which do not provide for native methods of returning posts or links to posts can be handled in standard ways using standard methods for extracting content from web pages. An example of such a method is described in Rowlands, Tom, Thomas, Paul and Wan, Stephen (2009) Web Indexing on a Diet: Template Removal with the Sandwich Algorithm. In Proc. ADCS 2009.
  • a post may be considered relevant to a search term because the post includes the search term.
  • a post may be considered relevant because it includes a synonym of the search term, or a word or phrase otherwise closely associated with the search term, using at least one dictionary, thesaurus, and/or list of such terms stored on the system.
  • Such a dictionary, thesaurus, or list may be manually created, automatically generated (e.g., from posts), or may be generated by manually or automatically editing/filtering such a dictionary, thesaurus, or list.
  • Other criteria and/or methods for determining the relevance of a post to a search term will be apparent to those skilled in the art of search engines.
  • the whole web page containing the post is retrieved.
  • the initial matching post can be identified using any suitable search method, including the google search engine API. Irrespective of how the initial matching post is identified, it is deemed to be the "first" post, and the retrieved web page containing that post is then parsed to identify one or more other, "second" posts having content which is responsive to the first post, or to which the first post is responsive.
  • the matching (first) post may have links to other posts, including posts in other web pages, or parts of other social media sites. For example, a first post might link to a Twitter microblogging entry (i.e., a "tweet”), and comment upon that entry, in which case the tweet would be considered to be a secondary post.
  • Posts are considered to be responsive to one another if one includes a specific link to another.
  • a responsive link between posts is inferred in the event that a different form of association exists between the posts.
  • an association is inferred on the basis of semantic or word overlap between the posts using semantic analysis or a vector space approach, or by more general statistical techniques, such as word, token, or n-gram analysis, including standard clustering techniques known to those skilled in the art.
  • semantic analysis such as word, token, or n-gram analysis, including standard clustering techniques known to those skilled in the art.
  • the system generates display data representing the discussions in a graphical user interface, and sends the generated display data to a user's web browser in order to display the graphical user interface to the user.
  • the display data is in the form of an HTML document incorporating PHP scripting language code.
  • the display data can alternatively be generated using other scripting and/or programming languages, such as Python, Javascript or Java, for example.
  • a screenshot of the interactive user interface is shown in Figure 3.
  • the user interface is generally divided into a left-hand panel 302 and a right-hand panel 304, with the right- hand panel 304 providing a scrollable and sorted list of discussions.
  • Each discussion in the list is initially displayed in condensed or summary form as a header sub-panel only, with its constituent posts hidden.
  • a pointing device such as a mouse or its equivalent (such as touching the screen when using a touch screen display device).
  • four discussions can be seen, with the posts of only the first (top) discussion displayed, the other discussions being displayed in condensed or summary form.
  • a first post 306 is displayed, along with secondary posts 308 and 310 .
  • posts are associated with a timestamp indicating when the post was generated (in other words, when it was submitted to the social media site).
  • each post in the forum is associated with a timestamp which indicates when the post was posted.
  • tweets are also associated with a posting time.
  • the first post and the one or more secondary posts have associated times (or timestamps)
  • it is useful to display the first post and the one or more secondary posts in chronological order, together with their timestamps (or text representing a corresponding time period, as shown) 312. This enables a user of the system to see how an issue or topic developed over time, and to easily determine which posts respond to which other posts.
  • the first post is shown by default. However, it is displayed together with an indication that one or more secondary posts are available for display.
  • the indication is that a secondary post display control 314 is displayed. The user can then click on or otherwise activate the secondary post display control 314 to toggle the display of all of the secondary posts for that discussion, thereby enabling the user to see the first post in the context of the entire discussion. In this way, the user can quickly see an overview of first posts relating to an issue, and with a single mouse click can toggle the display of all of the associated secondary posts.
  • a first post including content relevant to the search term can be retrieved directly and specifically, using an API for a corresponding social media platform (e.g. , Twitter).
  • a corresponding social media platform e.g. , Twitter
  • the method described above retrieved an entire whole web page (or equivalent data item) containing the first post
  • the post itself is retrieved as an individual data item.
  • a second post is then retrieved (e.g. , in a similar manner), the second post including content which refers to, or is referred to by, the first post.
  • identification of the second post involves parsing the first post to identify a reference (e.g. , metadata of the first post, or a hyperlink) to another post (which will be a second post).
  • references between posts can include tweets replying to other tweets, retweets and the like, based on metadata of tweets.
  • a secondary post may be identified by determining whether it is responsive to a first post, or is a post to which the first post is responsive. Additionally, a second post may be identified based on whether it refers to, or is referred to by, a first post.
  • the first post and second post can be displayed in a manner that indicates that the first post refers to, or is referred to by, the second post.
  • the second post is spatially positioned substantially adjacent to the first post, visually grouping the posts in a manner that indicates their relationship.
  • a graphical connector element (such as an arc 402, as shown in Figure 4 is displayed to indicate a connection between a post and a discussion, or between a first post and a second post.
  • the connector element 402 in Figure 4 indicates that the third displayed post of Discussion "3" is a first or 'seed' post of Discussion "4".
  • the first post and the second post may be from the same source.
  • the first post may be a post on a blog, which may link to a second post hosted on a picture sharing site such as Flickr.
  • a picture sharing site such as Flickr.
  • the first post and second post are retrieved from different sources, it is useful to display an identification of the source from which the posts were retrieved. For example, if the first post was retrieved from a blog, an indication 316 that the first source is a blog, and the name of the source (e.g. , GitHub.org), can be displayed, as shown in Figure 1.
  • an indication 318 that the second source is a picture sharing site, and the name or domain name of the source can be displayed.
  • identifiers of the sources of all of the posts in a discussion can be displayed in a header, or as a popup or tooltip (particularly if the posts are from many sources and would not easily fit into the header).
  • the search term is used to independently retrieve a first post including content relevant to the search term, and a second post also including content relevant to the search term.
  • the determination of relevance can be made directly, using standard search, engine techniques (e.g., using a Google API), semantic or statistical word, token, or n-gram analysis, and/or can be based on tags associated with the posts.
  • each of the first post and second post can be associated with one or more tags (which may be in the form of embedded tags or 'hashtags', such as those use by Twitter), and if there is a correspondence of tags between the first post and the second post, the first and second post are associated and are made part of the same discussion.
  • the first and second posts are then displayed in a manner that indicates that the first and second posts are associated.
  • a search for posts relating to Apple, Inc. may result in the retrieval of a first post relating to Apple, Inc's stock price movement.
  • This post may be associated with the tags "finance” and "share market”.
  • a second post may also be retrieved, relating to the release of the latest Apple product.
  • This post may be associated with the tag "product release”.
  • the first post does not have any tags that correspond to those of the second post, the first and second post are not associated.
  • the second post related to inconsistencies in Apple's tax statement it may be associated with the tags "finance" and "tax". In this case, one of the first one or more tags associated with the first post (the "finance" tag) would correspond with the same tag associated with the second post.
  • the > ' (first post and second post would therefore be deemed to be associated, and are thus displayed in a manner that indicates that the first post is associated with the second post. Examples of how a first and second post may be displayed in a manner to show an association (by relative spatial positioning of the posts or by the use of a graphical connector element) are described above. However, it will be apparent to those skilled in the art that the association between posts can be represented by any of a variety of other possible visual indications.
  • the step of associating a first one or more tags with the first post, and the step of associating a second one or more tags with the second post may be automatic or manual. If the association of tags is automatic, the post is parsed and tags are associated with the respective posts based on the content of the post. This can be achieved using standard methods known to those skilled in the art, including many forms of semantic analysis. A simplistic approach to automatic tagging is to identify the words and phrases in the post, and determine whether any of those words and phrases correspond to a known tag. I so, the known tag is associated with the post.
  • a user of the system can manually assign tags to posts.
  • the user can create new tags to be associated with a post, or assign existing tags (for example, by means of a drop-down list or a drag-and-drop mechanism).
  • the tags associated with each discussion and post are displayed in an area 319 towards the right-hand of the corresponding part of the right panel 304.
  • the first and second post may be displayed together with an indication of the source from which they were retrieved (or are otherwise associated), as described in more detail above.
  • a collection of posts (i.e. , a discussion) retrieved using the search term can be displayed together with one or more selectable action controls, each of which is selectable to initiate an action in relation to a post or a group of posts (e.g. , a discussion).
  • selectable action controls each of which is selectable to initiate an action in relation to a post or a group of posts (e.g. , a discussion).
  • one selectable action control can be selected to flag a corresponding post or group of posts as being of interest for later retrieval.
  • this selectable action control takes the form of an actionable label "Watch thread" '404, as shown in Figure 4.
  • the selectable action controls also include an actionable label "Forward to others" 502, as shown in Figure 5, the selection of which causes a reference to the posts or group of posts to be sent to one or more message recipients. Although in some circumstances sending a reference to a post or group of posts is sufficient, if there is a risk that the posts or group of posts may be deleted or removed in the near future, selecting the "Forward to others" label can alternatively result in copies of the posts themselves being forwarded.
  • the display includes indications of actions taken previously by users, for example by way of the selectable action controls.
  • the label "Forward to others" 502 is rendered in one colour if the action has not been taken and in a different colour if the action has previously been taken.
  • a tool tip is displayed in the event of the mouse pointer hovering over the label, the tip providing information regarding the time the action was taken and/or the identity of the user who took the action.
  • the posts and discussions retrieved using the search term can also be displayed in a user- configurable order.
  • the posts can be ordered (or reverse ordered) by date, source type or number of tags, most read, most tags, most notes, most views, or most posts by selecting a corresponding control of a display order sub-panel 320, as shown in Figure 3).
  • the controls can be re-ordered by clicking and dragging, with the final display order being determined as follows. If the first ordering method determines that two discussions have the same ranking, then the second ordering method is used to determine the display order of those two discussions, and so on until all of the ordering methods have been applied.
  • the timeline of displayed discussions is represented visually in a coloured timeline sub-panel 504, where the portion 506 of the timeline being viewed in the right-hand panel 304 is indicated visually by the earlier and later discussions being dimmed or darkened relative to the (brighter) portion 506 being viewed.
  • Each discussion is represented graphically by a horizontal bar 508 whose starting and ending positions represent the earliest and latest posts in that discussion relative to the overall time period being viewed (in the example of Figure 4, being posts dating from 6 days ago to the present). Additionally, the time distribution of the individual posts constituting the discussion are indicated graphically by dark squares 510. Corresponding horizontal bars 512 and squares 514 are also displayed immediately below each discussion. Related discussions are indicated by connector elements 516.
  • the posts can be displayed along with user annotations, which can either be selected by the user from a list, or entered as free text by the user.
  • the display of user annotations for a selected discussion can be toggled on and off by selecting an annotation control 406 displayed in the header region for that discussion.
  • the number of user annotations associated with each discussion and with each displayed post are displayed in the header for the discussion and the post, respectively, as indicated by the reference numerals 408 and 410 in Figure 4.
  • Sentiment information 412 for each discussion and determined using standard methods know to those skilled in the art is displayed adjacent the user annotation information.
  • An additional control 414 allows a user to toggle the display of all (first and second) posts for a selected discussion, and another control 416 allows a user to toggle the display of associations between discussions, if any, as shown in Figure 4.
  • Links or associations between discussions are created and displayed (which in some embodiments involves displaying connected discussions in adjacent positions, as shown in Figure 4), reducing the need to manually find/follow connections. Users are able to readily see connections between online discussions, whether those connections are direct (in the form ' of cross-referencing links), or indirect connections, in the form of discussions about similar topics identified by automatically generated tags and/or user selected tags, or by semantic analysis or clustering, for example. Other suitable methods for determining similarity will be apparent to those skilled in the art.
  • Connections between media posts across media types are represented visually, showing how an article in one medium (such as a news article or blog post) has sparked off a discussion in another medium (such as a forum discussion or Twitter conversation).
  • the user interface displays both online posts and discussions and interactions with those posts by media monitoring staff (their comments, actions, key words).
  • a user can prioritise posts and discussions in a number of ways, including by chronological order, by the number of posts in a discussion, by the posts which have been viewed the most, etc.
  • the user interface When displaying the posts, the user interface provides all the information appropriate for a relevance judgement, including number of posts, time, tags, etc. The user can then expand a discussion to see all the posts of that discussion.
  • the same user interface can be used for a triage task (relevance judgement for recent posts), and also for displaying search results.
  • a social media monitoring system in accordance with the present invention may retrieve relevant posts, associated web pages, related posts and posts independently relevant to the search term.

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

La présente invention concerne un processus de recherche de média social qui consiste à : recevoir des données de recherche représentant un ou plusieurs critères de recherche ; récupérer, à partir d'une ou de plusieurs plateformes de média social dans un réseau de communications, des données de média social représentant des articles de forum soumis aux plateformes de média social par des utilisateurs des plateformes de média social, les articles de forum comprenant au moins un premier article de forum correspondant aux critères de recherche ; traiter les données de média social afin de déterminer, pour chaque premier article de forum, un ou plusieurs seconds articles de forum correspondants relatifs au premier article de forum ; générer des données de discussion représentant un ou plusieurs groupes des articles de forum, chaque groupe comportant au moins un des premiers articles de forum et le ou les seconds articles de forum correspondants relatifs au premier article de forum ; et traiter les données de discussion afin de générer des données d'affichage représentant les groupes d'article de forum dans une interface utilisateur interactive destinée en vue d'un affichage pour un utilisateur.
PCT/AU2012/000694 2011-06-16 2012-06-15 Surveillance de média social WO2012171073A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
AU2011902354A AU2011902354A0 (en) 2011-06-16 Social Media Monitoring
AU2011902354 2011-06-16
AU2011902375 2011-06-17
AU2011902375A AU2011902375A0 (en) 2011-06-17 Social Media Monitoring

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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2753024A3 (fr) * 2013-01-03 2014-08-13 Fluidmesh Networks S.r.l. Système et procédé permettant de surveiller et rechercher en continu des supports de réseautage social
US9213996B2 (en) 2012-11-19 2015-12-15 Wal-Mart Stores, Inc. System and method for analyzing social media trends
US9286619B2 (en) 2010-12-27 2016-03-15 Microsoft Technology Licensing, Llc System and method for generating social summaries
US9294576B2 (en) * 2013-01-02 2016-03-22 Microsoft Technology Licensing, Llc Social media impact assessment
US9324112B2 (en) 2010-11-09 2016-04-26 Microsoft Technology Licensing, Llc Ranking authors in social media systems
EP3040932A1 (fr) * 2014-12-29 2016-07-06 Deutsche Telekom AG Procédé de suivi de discussion de multimédia social
US9710563B2 (en) 2015-08-28 2017-07-18 International Business Machines Corporation Search engine analytics and optimization for media content in social networks
EP3136260A4 (fr) * 2014-05-29 2017-08-30 Nippon Telegraph and Telephone Corporation Système d'analyse d'informations, procédé d'analyse d'informations, et programme d'analyse d'informations
US9798742B2 (en) 2015-12-21 2017-10-24 International Business Machines Corporation System and method for the identification of personal presence and for enrichment of metadata in image media

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100119053A1 (en) * 2008-11-13 2010-05-13 Buzzient, Inc. Analytic measurement of online social media content

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100119053A1 (en) * 2008-11-13 2010-05-13 Buzzient, Inc. Analytic measurement of online social media content

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9324112B2 (en) 2010-11-09 2016-04-26 Microsoft Technology Licensing, Llc Ranking authors in social media systems
US9286619B2 (en) 2010-12-27 2016-03-15 Microsoft Technology Licensing, Llc System and method for generating social summaries
US9213996B2 (en) 2012-11-19 2015-12-15 Wal-Mart Stores, Inc. System and method for analyzing social media trends
US9294576B2 (en) * 2013-01-02 2016-03-22 Microsoft Technology Licensing, Llc Social media impact assessment
US9672255B2 (en) 2013-01-02 2017-06-06 Microsoft Technology Licensing, Llc Social media impact assessment
US10614077B2 (en) 2013-01-02 2020-04-07 Microsoft Corporation Computer system for automated assessment at scale of topic-specific social media impact
US9942337B2 (en) 2013-01-03 2018-04-10 Hitachi Data Systems Corporation System and method for continuously monitoring and searching social networking media
US9203915B2 (en) 2013-01-03 2015-12-01 Hitachi Data Systems Corporation System and method for continuously monitoring and searching social networking media
US10673966B2 (en) 2013-01-03 2020-06-02 Hitachi Vantara Llc System and method for continuously monitoring and searching social networking media
EP2753024A3 (fr) * 2013-01-03 2014-08-13 Fluidmesh Networks S.r.l. Système et procédé permettant de surveiller et rechercher en continu des supports de réseautage social
EP3136260A4 (fr) * 2014-05-29 2017-08-30 Nippon Telegraph and Telephone Corporation Système d'analyse d'informations, procédé d'analyse d'informations, et programme d'analyse d'informations
US9940319B2 (en) 2014-05-29 2018-04-10 Nippon Telegraph And Telephone Corporation Information analysis system, information analysis method, and information analysis program
EP3040932A1 (fr) * 2014-12-29 2016-07-06 Deutsche Telekom AG Procédé de suivi de discussion de multimédia social
US9710563B2 (en) 2015-08-28 2017-07-18 International Business Machines Corporation Search engine analytics and optimization for media content in social networks
US9798742B2 (en) 2015-12-21 2017-10-24 International Business Machines Corporation System and method for the identification of personal presence and for enrichment of metadata in image media

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