JP2016015008A - Credibility evaluation program, credibility evaluation method, and information processing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To determine the degree of confidence of contribution information transmitted by a terminal device.SOLUTION: A terminal device M measures the number C of other terminal devices M that have become able to directly communicate with the terminal device itself by short-range wireless communication. The terminal device M associates contribution information on a certain event with the measured number C of other terminal devices M and transmits the same according to operation input to transmit the contribution information. An information processing device 100 obtains the contribution information on the certain event and the number C of other terminal devices M measured by the terminal device M transmitted by the terminal device M. The information processing device 100 determines the degree of confidence R of the contribution information on the basis of the obtained number C of other terminal devices M.

Description

  The present invention relates to a credibility evaluation program, a credibility evaluation method, and an information processing apparatus.

  In recent years, information on incidents and accidents disclosed on the Internet can be browsed from smartphones and mobile phones through information transmission sites and social media. Among the information on incidents and accidents disclosed on the Internet, there are a lot of information sent by individuals in addition to information distributed from the police, fire departments, local governments, and the like.

  Prior art includes, for example, analyzing, analyzing, correlating and re-storing data about current events or accident locations captured by a data capture device associated with an individual or a specific location for use by other parties. There is technology to integrate. Also, the crime information is read from the crime occurrence DB for the area including the position indicated by the position information received from the mobile phone, and a mail indicating the collected crime information is compiled and transmitted to the mail address of the mobile phone. There is technology. There is also a technique for displaying warning information based on a report from a traveling vehicle that has witnessed an accident or the like.

JP-T-2004-533034 Japanese Patent Laid-Open No. 2005-277752 JP 2003-288680 A

  However, with the conventional technology, it may be difficult to determine the credibility of information published on a network such as the Internet. For example, even if a malicious information disclosure person discloses false information using social media or the like, it is difficult for the information viewer to determine the authenticity of the information.

  In one aspect, an object of the present invention is to provide a credibility evaluation program, a credibility evaluation method, and an information processing apparatus that determine the reliability of posted information transmitted from a terminal device.

  According to one aspect of the present invention, when the terminal device transmits post information about a certain event, the number of other terminal devices searched by the short-range wireless communication of the terminal device is acquired, and the acquired other A credibility evaluation program, a credibility evaluation method, and an information processing apparatus for determining the reliability of the posted information based on the number of terminal devices are proposed.

  According to one aspect of the present invention, it is possible to determine the reliability of posted information transmitted from a terminal device.

FIG. 1 is an explanatory diagram of an example of a credibility evaluation method according to the embodiment. FIG. 2 is an explanatory diagram illustrating a system configuration example of the system 200. FIG. 3 is a block diagram illustrating a hardware configuration example of the terminal device Mj. FIG. 4 is a block diagram illustrating a hardware configuration example of the information disclosure server 201. FIG. 5 is an explanatory diagram illustrating an example of the contents stored in the position information table 220. FIG. 6 is an explanatory diagram illustrating an example of the contents stored in the aggregation table 230. FIG. 7 is an explanatory diagram showing an example of the contents stored in the disclosure information DB 240. FIG. 8 is an explanatory diagram illustrating a screen example of a posting screen. FIG. 9 is an explanatory diagram (part 1) of a specific example of post information. FIG. 10 is a block diagram illustrating a functional configuration example of the terminal device Mj. FIG. 11 is a block diagram illustrating a functional configuration example of the information disclosure server 201. FIG. 12 is an explanatory diagram illustrating an example of determining the reliability R of the disclosure information Di. FIG. 13 is an explanatory diagram showing an example of the contents stored in the event type table 1300. FIG. 14 is an explanatory diagram showing an example of the contents stored in the risk level table 1400. FIG. 15 is an explanatory diagram (part 2) of a specific example of post information. FIG. 16 is an explanatory diagram showing an example of updating the disclosure information Di in the disclosure information DB 240. FIG. 17 is an explanatory diagram illustrating a screen example of the information reference screen. FIG. 18 is a flowchart illustrating an example of the credibility evaluation processing procedure of the information disclosure server 201. FIG. 19 is a flowchart (part 1) illustrating an example of a specific process procedure of the same event determination process. FIG. 20 is a flowchart (part 2) illustrating an example of a specific process procedure of the same event determination process. FIG. 21 is a flowchart illustrating an example of a specific processing procedure of the reliability determination processing. FIG. 22 is a flowchart illustrating an example of a specific processing procedure of the first reliability determination process. FIG. 23 is a flowchart illustrating an example of a specific processing procedure of the second reliability determination process. FIG. 24 is a flowchart illustrating an example of a specific processing procedure of the comprehensive reliability determination process. FIG. 25 is a flowchart (part 1) illustrating an example of a specific process procedure of the risk determination process. FIG. 26 is a flowchart (part 2) illustrating an example of a specific process procedure of the risk determination process.

  Hereinafter, embodiments of a credibility evaluation program, a credibility evaluation method, and an information processing apparatus according to the present invention will be described in detail with reference to the drawings.

(An example of a credibility evaluation method)
FIG. 1 is an explanatory diagram of an example of a credibility evaluation method according to the embodiment. In FIG. 1, an information processing apparatus 100 is a computer that determines the reliability R of posted information transmitted from a terminal apparatus M (terminal apparatuses M1 to M5 in the example of FIG. 1).

  The terminal device M is a computer capable of short-range wireless communication, and is, for example, a smartphone, a mobile phone, or a tablet PC (Personal Computer). Short-range wireless communication is wireless communication with a communication distance of up to about several tens of meters. As an example of the short-range wireless communication, for example, communication using a wireless PAN (Personal Area Network) such as Bluetooth (registered trademark), ZigBee (registered trademark), or the like can be given.

  The posted information is information about a certain event, such as information about an incident, an accident, a natural disaster, or some accidental event. The posted information includes articles about a certain event, images (still images, moving images), sounds, and the like. The posted information is posted by a user of the terminal device M and is released through social media, for example.

  Here, information such as incidents and accidents disclosed on a network such as the Internet can be viewed from a smartphone or the like through an information transmission site or social media. In addition to information distributed from the police, fire departments, local governments, etc., there are a lot of information sent by individuals.

  Information distributed from the police, fire department, local government, etc. is highly credible information, but it requires a lot of time from the occurrence of an incident or accident to information disclosure because it involves various human resources until information disclosure. Tend to be. For this reason, it is difficult for an information viewer to quickly know the occurrence of an incident or accident from information distributed from the police, fire department, local government, or the like.

  However, it is important to know as soon as possible the occurrence of an incident or accident. For example, if a certain information viewer is unable to know an incident, accident, etc. occurring on the way to or near the destination at an early stage, he / she will encounter an incident, accident, etc. while moving to the destination or when arriving. This may lead to a secondary disaster.

  Compared to information distributed from the police, fire department, local government, etc., information disclosed by people who actually encountered an incident, accident, etc. through social media etc. has a time lag from the occurrence of the incident, accident, etc. to the information disclosure. Often small. However, information disclosed by an individual may include false information or incorrect information.

  In other words, information disclosed by individuals through social media is effective as a means to quickly know the occurrence of an incident, accident, etc., but it may be false information or incorrect information, and the credibility of the information It is important to evaluate

  Here, when an incident, accident, etc. occurs, field horses may gather around the site and get crowded. Also, Nojima often gathers with smartphones and mobile phones to inform the family and acquaintances of the occurrence of an incident or accident, or to photograph the scene of the incident or accident.

  Therefore, in the present embodiment, when an incident, an accident, or the like occurs, it is transmitted from a certain terminal device M by utilizing the tendency that field horses that bring terminal devices M such as smartphones and mobile phones tend to gather around the site. A method for determining the reliability R of posted information will be described. Hereinafter, an example of the reliability evaluation process of the information processing apparatus 100 will be described.

  In the example of FIG. 1, a case where an accident actually occurs at a certain place and the field horse A who arrives at the accident site uses the terminal device M1 to post post information about the accident will be described as an example.

  (1) The terminal device M starts short-range wireless communication in response to a predetermined operation input. Here, the short-range wireless communication of the terminal device M is performed in order to search for another terminal device M existing around the terminal device M. The predetermined operation input is a user operation input that triggers the start of near field communication in the terminal device M.

  For example, the predetermined operation input may be an operation input for starting an application for posting posting information. Further, the predetermined operation input may be an operation input for inputting an article, an image, a sound, or the like included in the posting information, or may be an operation input for transmitting the posting information.

  In the example of FIG. 1, when the field horse A who arrives at the accident site performs an operation input for starting an application for posting posted information, the short-distance wireless communication of the terminal device M1 is started. Suppose.

  (2) The terminal device M measures the number C of other terminal devices M that can directly communicate with the own device through short-range wireless communication. Specifically, for example, the terminal device M directly searches for another terminal device M existing within the communication range of short-range wireless communication at regular time intervals (for example, every several seconds), thereby directly The number C of other terminal devices M that have become communicable is measured.

  At this time, the terminal device M may not perform pairing for connecting the terminal devices. Pairing is to perform mutual authentication by selecting a partner as a connection destination from communication devices existing within the communication range of short-range wireless communication and inputting the same personal identification number for both.

  That is, in this embodiment, since it is only necessary to count the number C of other terminal devices M existing within the short-range wireless communication range of the terminal device M, an approval operation for session establishment is performed between the terminal devices. It does not have to be.

  In the example of FIG. 1, when the short-distance wireless communication of the terminal device M1 is started, first, the terminal devices M4 and M5 of the field horses D and E originally staying at the site are searched. Thereafter, when the field horses B and C arrive at the accident site, the terminal devices M2 and M3 of the field horses B and C are sequentially searched.

  (3) In response to an operation input for transmitting post information, the terminal device M transmits post information about a certain event in association with the number C of other measured terminal devices M. As described above, the posted information is released through social media. For this reason, the transmission destination of the posting information is, for example, a computer such as social media used by the user of the terminal device M.

  In the example of FIG. 1, as an example, it is assumed that the information processing apparatus 100 is a post information transmission destination computer. Further, it is assumed that after the terminal device M3 of the field horse C is searched, an operation input for transmitting the posted information 110 about the accident is performed in the terminal device M1. In this case, the terminal apparatus M1 transmits the post information 110 and the measured number C of other terminal apparatuses M to the information processing apparatus 100 in association with each other.

  For example, when the short-distance wireless communication of the terminal device M1 is started in response to an operation input for transmitting post information, the terminal device M1 starts the short-range wireless communication in response to the operation input. Thus, the number C of other terminal devices M that can directly communicate with the own device through short-range wireless communication is measured. Then, the terminal device M transmits post information regarding a certain event in association with the measured number of other terminal devices M.

  (4) The information processing apparatus 100 acquires post information about a certain event transmitted from the terminal apparatus M and the number C of other terminal apparatuses M measured by the terminal apparatus M. Here, the number C of other terminal devices M is the number of other terminal devices searched by the short-range wireless communication of the terminal device M when the terminal device M transmits the posted information.

  That is, the number C of other terminal devices is determined between the time when the short-range wireless communication is started in response to a predetermined operation input in the terminal device M and the time when post information about a certain event is transmitted. This is the number of other terminal devices M searched by short-range wireless communication. In other words, the number C of other terminal devices M can be said to be the number of field horses gathered at the same place as the information sender.

  In the example of FIG. 1, the information processing apparatus 100 receives post information 110 regarding an accident and the number C “4” of other terminal apparatuses M measured by the terminal apparatus M1 from the terminal apparatus M1.

  (5) The information processing apparatus 100 determines the reliability R of the acquired post information based on the acquired number C of other terminal apparatuses M. Here, the reliability R of posted information is an index for evaluating the authenticity of posted information. The reliability R of the posted information may be expressed as a numerical value such that the value becomes larger as the credibility is higher, and represents the high credibility such as “high”, “medium”, and “low”. It may be expressed by level.

  Specifically, for example, the information processing apparatus 100 determines that the reliability R of the posted information is “high” if the number C of the other terminal apparatuses M is equal to or greater than the threshold Th recorded in advance. Good. Further, the information processing apparatus 100 may determine that the reliability R of the posted information is “low” if the number C of other terminal apparatuses M is less than the threshold Th.

  That is, if there are many field horses gathered at the same place as the information sender, it can be determined that there is a high possibility that an accident has actually occurred, so the reliability R of the posted information is determined to be “high”. On the other hand, if the number of field horses gathered at the same place as the information sender is small, it can be determined that the possibility of an accident actually occurring is low, so the reliability R of the posted information is determined to be “low”.

  As an example, the threshold value Th is “Th = 3”. In this case, in the example of FIG. 1, the information processing apparatus 100 determines that the reliability R of the posted information 110 is “high” because the number C “4” of the other terminal apparatuses M is equal to or greater than the threshold Th.

  Thus, according to the information processing apparatus 100, based on the number C of other terminal apparatuses M searched by the short-range wireless communication of the terminal apparatus M when the terminal apparatus M transmits post information about a certain event. The reliability R of the posted information transmitted from the terminal device M can be determined. Thereby, the authenticity of the posting information transmitted from the terminal device M can be evaluated.

  For this reason, it becomes possible to select highly credible information from information such as incidents and accidents disclosed using social media and provide the information to the information viewer. Moreover, the information viewer can grasp the occurrence of an incident, an accident, etc. at an early stage. As a result, for example, when the information viewer heads to the destination, it is possible to consider changes in the destination and changes in the travel route in advance, avoiding entry into the dangerous area and preventing secondary disasters. be able to.

  The information processing apparatus 100 may be realized by the terminal device M on the information viewer side, for example. In this case, the credibility of the posted information transmitted from the information disclosure person's terminal device M can be evaluated on the information viewer side. Thereby, for example, even if a malicious information disclosing person discloses false information using social media or the like, it becomes easy for the information viewer side to detect that the information is false information.

(System configuration example of system 200)
Next, a system configuration example of the system 200 according to the embodiment will be described.

  FIG. 2 is an explanatory diagram illustrating a system configuration example of the system 200. In FIG. 2, a system 200 is configured to include terminal devices M1 to Mm, an information disclosure server 201, and an information providing server 202 (m is a natural number of 2 or more). In the system 200, the terminal devices M1 to Mm, the information disclosure server 201, and the information providing server 202 are connected via a wired or wireless network 210. The network 210 is, for example, a local area network (LAN), a wide area network (WAN), or the Internet.

  In the following description, any terminal device among the terminal devices M1 to Mm may be referred to as “terminal device Mj” (j = 1, 2,..., M).

  The terminal device Mj has a position information table 220 and a totaling table 230, and is a computer capable of near field communication. The contents stored in the position information table 220 and the aggregation table 230 will be described later with reference to FIGS. An application for posting posting information is installed in the terminal device Mj. The terminal device Mj corresponds to the terminal device M described in FIG.

  In the following description, an application for posting posting information may be referred to as “posting application”.

  The information disclosure server 201 is a computer that has a disclosure information DB (database) 240 and determines the reliability R of the posted information transmitted from the terminal device Mj. The contents stored in the disclosure information DB 240 will be described later with reference to FIG. The information disclosure server 201 corresponds to the information processing apparatus 100 described in FIG.

  The information providing server 202 is a computer that stores an emergency vehicle dispatch history. For example, the information providing server 202 receives the location and date and time, and outputs dispatch information indicating whether or not an emergency vehicle has dispatched to the input location within a certain period including the input date and time. The information providing server 202 is a server such as a police, a fire department, or a local government.

(Hardware configuration example of terminal device Mj)
FIG. 3 is a block diagram illustrating a hardware configuration example of the terminal device Mj. In FIG. 3, a terminal device Mj includes a CPU (Central Processing Unit) 301, a memory 302, a display 303, a keypad 304, a public network I / F (Interface) 305, a short-range wireless I / F 306, It has a GPS (Global Positioning System) unit 307 and a camera 308. Each component is connected by a bus 300.

  Here, the CPU 301 controls the entire terminal device Mj. The memory 302 includes, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), and a flash ROM. Specifically, for example, the flash ROM stores an OS (Operating System) program, the ROM stores an application program, and the RAM is used as a work area of the CPU 301. The program stored in the memory 302 is loaded into the CPU 301, thereby causing the CPU 301 to execute the coded process.

  The display 303 displays data such as a document, an image, and function information as well as a cursor, an icon, or a tool box. As the display 303, for example, a liquid crystal display, an organic EL (Electroluminescence) display, or the like can be adopted.

  The keypad 304 has keys for inputting characters, numbers, various instructions, etc., and inputs data. The keypad 304 may be, for example, a touch panel type input pad or a numeric keypad.

  The public network I / F 305 has a wireless communication circuit and an antenna, is connected to the network 210 via a base station of a mobile communication network, and other computers (for example, the information shown in FIG. 2). Disclosure server 201). The public network I / F 305 controls an internal interface with the network 210 and controls input / output of data from other computers.

  The short-range wireless I / F 306 has a wireless communication circuit and an antenna, is connected to a wireless network, and is connected to other terminal devices Mk (k ≠ j, k = 1, 2,..., M) via the wireless network. Is done. The short-range wireless I / F 306 serves as an internal interface with the wireless network, and controls input / output of data from other terminal apparatuses Mk.

  The GPS unit 307 receives radio waves from GPS satellites and outputs position information of the terminal device Mj. The position information of the terminal device Mj is information specifying one point on the earth such as latitude and longitude. Further, the terminal device Mj may correct the position information output from the GPS unit 307 by DGPS (Differential GPS).

  The camera 308 takes a still image or a moving image and outputs it as image data. An image photographed by the camera 308 is recorded in the memory 302 as image data, for example. In addition to the above-described components, the terminal device Mj may include, for example, an audio signal processing unit that performs A / D conversion on audio received by a microphone.

(Hardware configuration example of information disclosure server 201)
FIG. 4 is a block diagram illustrating a hardware configuration example of the information disclosure server 201. 4, the information disclosure server 201 includes a CPU 401, a memory 402, an I / F 403, a disk drive 404, and a disk 405. Each component is connected by a bus 400.

  Here, the CPU 401 governs overall control of the information disclosure server 201. The memory 402 includes, for example, a ROM, a RAM, a flash ROM, and the like. Specifically, for example, a flash ROM or ROM stores various programs, and the RAM is used as a work area of the CPU 401. The program stored in the memory 402 is loaded on the CPU 401 to cause the CPU 401 to execute the coded process.

  The I / F 403 is connected to the network 210 through a communication line, and is connected to another computer (for example, the terminal device Mj and the information providing server 202 illustrated in FIG. 2) via the network 210. The I / F 403 controls an internal interface with the network 210 and controls input / output of data from other computers. For example, a modem or a LAN adapter may be employed as the I / F 403.

  The disk drive 404 controls reading / writing of data with respect to the disk 405 according to the control of the CPU 401. The disk 405 stores data written under the control of the disk drive 404. Examples of the disk 405 include a magnetic disk and an optical disk.

  The information disclosure server 201 may include, for example, an SSD (Solid State Drive), a keyboard, a mouse, and a display in addition to the above-described components. Further, the information providing server 202 shown in FIG. 2 can also be realized by the same hardware configuration as the information disclosure server 201.

(Storage contents of the position information table 220)
Next, the contents stored in the position information table 220 of the terminal device Mj will be described. The position information table 220 is realized by, for example, the memory 302 of the terminal device Mj illustrated in FIG.

  FIG. 5 is an explanatory diagram illustrating an example of the contents stored in the position information table 220. In FIG. 5, the position information table 220 stores the short-range wireless communication start time and the position information (latitude, longitude) at the start. Here, the short-range wireless communication start time indicates a time at which the short-range wireless communication is started in the terminal device Mj. The short-range wireless communication start time is expressed by, for example, year / month / day / hour / minute / second (yyyy / mm / dd HH: MM: SS). The position information (latitude, longitude) at the start is position information of the terminal device Mj at the start of short-range wireless communication, and is expressed by a combination of latitude (degree, minute, second) and longitude (degree, minute, second). The

(Storage contents of total table 230)
Next, the contents stored in the aggregation table 230 of the terminal device Mj will be described. The aggregation table 230 is realized by the memory 302 of the terminal device Mj, for example.

  FIG. 6 is an explanatory diagram illustrating an example of the contents stored in the aggregation table 230. In FIG. 6, the tabulation table 230 has fields of terminal ID, near field communication success time, near field communication failure time, and position information (latitude, longitude) at the time of search. By setting information in each field, short-range wireless communication information (for example, short-range wireless communication information 600-1 to 600-4) is stored as a record.

  Here, the terminal ID is an identifier of another terminal device Mk searched by the short-range wireless communication of the terminal device Mj. The short-range wireless communication success time indicates a time when another terminal device Mk is searched by the short-range wireless communication of the terminal device Mj. The short-range wireless communication failure time indicates a time when another terminal device Mk searched by the short-range wireless communication of the terminal device Mj is out of the communication range of the short-range wireless communication of the terminal device Mj. The position information (latitude, longitude) at the time of search is position information of the terminal device Mj when another terminal device Mk is searched by short-range wireless communication of the terminal device Mj.

  In addition, the aggregation table 230 stores the number of collected terminals, the number of discrete terminals, and position information (latitude, longitude) at the time of transmission. Here, the number of gathering terminals is the number of other terminal devices Mk searched by the short-range wireless communication of the terminal device Mj. The number of discrete terminals is the number of other terminal devices Mk out of the communication range of the short-range wireless communication of the terminal device Mj among the other terminal devices Mk searched by the short-range wireless communication of the terminal device Mj. The position information (latitude, longitude) at the time of transmission is the position information of the terminal device Mj at the time of posting information transmission, and is expressed by a combination of latitude and longitude.

(Storage contents of disclosure information DB 240)
Next, the contents stored in the disclosure information DB 240 of the information disclosure server 201 will be described. The disclosure information DB 240 is realized by, for example, a storage device such as the memory 402 and the disk 405 of the information disclosure server 201 illustrated in FIG.

  In the following description, among the posted information posted by the user of the terminal device Mj, that is, the posted information transmitted from the terminal device Mj, the posted information registered in the disclosure information DB 240 may be referred to as “disclosure information”. is there.

  FIG. 7 is an explanatory diagram showing an example of the contents stored in the disclosure information DB 240. In FIG. 7, the disclosure information DB 240 includes an information ID, information validity, reliability, first reliability, second reliability, information difference, disclosure source position, disclosure source, number of collected terminals, number of discrete terminals, occurrence time, It has fields for event type, risk, disclosure content, and number of postings. By setting information in each field, disclosure information D1 to Dn is stored as a record.

  Here, the information ID is an identifier for identifying disclosure information (post information). For example, the information ID is set so that the numeric part of the information ID is in ascending order when newly registering the disclosure information. The information validity indicates whether or not the disclosed information is valid. As information validity, for example, in the initial setting, “present” indicating that the disclosure information is valid is set, and it indicates that the disclosure information is invalid in accordance with the completion of the processing of the incident, accident, etc. “None” is set.

  Note that the end of processing of incidents, accidents, and the like is determined by information distributed from servers such as the police, fire department, and local government. More specifically, for example, by the information disclosure server 201 or manually, based on information distributed from a server such as the police, fire department, local government, etc., the end of processing such as an incident or an accident is judged and the information validity is increased. It may be updated.

  The reliability is the reliability R of the disclosure information (post information), and is an index for evaluating the credibility of the disclosure information. The first reliability is the first reliability R1 of the disclosure information and is an index determined from the number of gathered terminals. The second reliability is the second reliability R2 of the disclosure information and is an index determined from the number of discrete terminals.

  The information difference indicates a difference between the dispatch information provided from the information providing server 202 and the disclosed information. For example, if the emergency vehicle is dispatched within a certain period including the time of occurrence of an event at the location where the information is disclosed, that is, the location where the event occurred, the information difference is set to “None”. If the vehicle is not dispatched, “present” is set.

  The disclosure source position is the position information of the terminal device Mj that is the disclosure source of the disclosure information (post information). The disclosure source is an identifier for identifying the disclosure source of the disclosure information. Here, the terminal ID of the terminal device Mj that is the disclosure source is used as the disclosure source. However, the name and handle name of the user who uses the terminal device Mj that is the disclosure source may be used as the disclosure source.

  The number of gathered terminals is the number of other terminal devices Mk searched by the short-range wireless communication of the terminal device Mj that is the disclosure source. The number of discrete terminals is the number of other terminal devices Mk out of the communication range of the short-range wireless communication of the terminal device Mj among the other terminal devices Mk searched by the short-range wireless communication of the terminal device Mj that is the disclosure source. Is a number.

  The occurrence time indicates the time when an event has occurred. As the occurrence time, for example, the time when the disclosure information (post information) is received by the information disclosure server 201 is set. However, the time when the disclosure information (post information) is transmitted from the terminal device Mj may be set as the generation time.

  The event type indicates the type of an event. For example, an incident, an accident, or the like is set as the event type. The degree of danger indicates the degree of danger of an event. The degree of danger may be expressed by a level indicating the degree of danger such as “high”, “medium”, and “low”. The disclosed contents are articles, image data, audio data, and the like included in disclosed information (post information) about a certain event. The number of postings is the number of times posting information about a certain event has been posted.

  In the following description, arbitrary disclosure information among the disclosure information D1 to Dn in the disclosure information DB 240 may be referred to as “disclosure information Di” (i = 1, 2,..., N).

(Screen example of posting screen)
Next, a screen example of a posting screen displayed on the display 303 of the terminal device Mj will be described. The posting screen is displayed on the display 303 of the terminal device Mj when, for example, an operation input for starting the posting application is performed in the terminal device Mj.

  FIG. 8 is an explanatory diagram illustrating a screen example of a posting screen. In FIG. 8, a posting screen 800 is an operation screen for creating posting information regarding a certain event. Here, a case where a tap operation is performed as a user operation input performed on the posting screen 800 will be described as an example.

  When a region 801 is tapped on the posting screen 800, a disclosure information type indicating a certain event type can be input. In addition, when an area 802 is tapped on the posting screen 800, a comment about a certain event can be input. In addition, when an area 803 is tapped on the posting screen 800, image data, audio data, and the like regarding a certain event can be attached.

(Specific examples of posted information)
Next, a specific example of post information created using the post screen 800 shown in FIG. 8 will be described.

  FIG. 9 is an explanatory diagram (part 1) of a specific example of post information. In FIG. 9, the posted information 900 is a disclosure information type “accident” and a comment “◎◎ in the town ●● station near the station, and there is a heavy traffic on Route 2. It ’s a really big crash! "including. The post information 900 does not include image data or audio data.

(Functional configuration example of terminal device Mj)
FIG. 10 is a block diagram illustrating a functional configuration example of the terminal device Mj. In FIG. 10, the terminal device Mj includes a reception unit 1001, a short-range wireless communication control unit 1002, a measurement unit 1003, and a transmission unit 1004. The receiving unit 1001 to the transmitting unit 1004 are functions as control units. Specifically, for example, by causing the CPU 301 to execute a program stored in a storage device such as the memory 302 illustrated in FIG. The function is realized by the network I / F 305 and the short-range wireless I / F 306. The processing result of each functional unit is stored in a storage device such as the memory 302, for example.

  The accepting unit 1001 accepts a predetermined operation input. Here, the predetermined operation input is a user operation input that triggers the start of near field communication in the terminal device Mj. The predetermined operation input is, for example, an operation input for starting a posting application. Specifically, for example, the accepting unit 1001 accepts a predetermined operation input by a user operation input using the keypad 304 shown in FIG.

  The near field communication control unit 1002 controls near field communication by the own device. Specifically, for example, the short-range wireless communication control unit 1002 starts short-range wireless communication by the own device in response to the reception unit 1001 receiving a predetermined operation input. Further, for example, the short-range wireless communication control unit 1002 may end the short-range wireless communication by the own device in response to the end of the posting application.

  When the short-range wireless communication by the terminal device Mj is started, the short-range wireless communication start time and the position information of the terminal device Mj at the start of the short-range wireless communication are stored in the position information table 220 shown in FIG. The

  The measuring unit 1003 measures the number of collected terminals C1. Here, the number of gathering terminals C1 is the number of other terminal devices Mk that can directly communicate with the terminal device Mj through the short-range wireless communication of the terminal device Mj. Specifically, for example, the measuring unit 1003 searches the other terminal devices Mk existing in the communication range of the short-range wireless communication at a certain time interval (for example, every several seconds), and thereby calculates the number of gathered terminals C1. measure.

  When another terminal device Mk is searched, the terminal ID of the other terminal device Mk, the short-range wireless communication success time, and the position information (latitude, longitude) at the time of the search are shown in the tabulation table 230 shown in FIG. Is remembered. As a result, new short-range wireless communication information is registered in the aggregation table 230. At this time, the short-range wireless communication failure time is “− (null)”. As a result, the measurement unit 1003 can specify the number of short-range wireless communication information in the aggregation table 230 as the number of collected terminals C1.

  In addition, the measurement unit 1003 measures the number of discrete terminals C2. Here, the number of discrete terminals C2 is out of the communication range of the short-range wireless communication of the terminal device Mj among the other terminal devices Mk that can directly communicate with the terminal device Mj by the short-range wireless communication of the terminal device Mj. The number of other terminal devices Mk. Specifically, for example, when the other terminal device Mk searched at a certain timing is not searched at any later timing, the measuring unit 1003 performs communication of short-distance wireless communication of the terminal device Mj. Judged out of range.

  When the other terminal device Mk is out of the communication range of the short-range wireless communication, the time when the other terminal device Mk is out of the communication range is the short-range wireless communication failure time of the corresponding short-range wireless communication information in the aggregation table 230. Set to As a result, the measuring unit 1003 can specify the number of short-range wireless communication information in which the short-range wireless communication failure time in the aggregation table 230 is set as the number of discrete terminals C2.

  The transmission unit 1004 transmits post information about a certain event and the measured number of collected terminals C1 in association with each other. Furthermore, the transmission unit 1004 may transmit the measured number of discrete terminals C2 in association with post information about a certain event. Specifically, for example, the transmission unit 1004 transmits post information including the number of collected terminals C1 and the number of discrete terminals C2 to the information disclosure server 201 in response to an operation input for transmitting post information.

  The posted information includes, for example, transmission source specifying information for specifying the disclosure source and the disclosure source position of the posted information. The information specifying the disclosure source is, for example, the terminal ID of the terminal device Mj. The information specifying the disclosure source position is, for example, position information (latitude, longitude) at the time of transmission in the aggregation table 230.

  The position information (latitude, longitude) at the time of transmission in the aggregation table 230 is, for example, position information of the terminal device Mk at the time when an operation input for transmitting post information is performed. That is, when an operation input for transmitting post information is performed, the position information of the terminal device Mk at that time is stored in the tabulation table 230 as position information (latitude, longitude) at the time of transmission.

  Further, the measurement unit 1003 may determine whether or not the short-range wireless communication information in the aggregation table 230 is data generated based on the short-range wireless communication result. Specifically, for example, the measurement unit 1003 sets in advance an error 1 between the position information at the start in the position information table 220 and the position information at the time of searching for short-range wireless communication information in the aggregation table 230. It is judged whether it is in the range. Further, the measuring unit 1003 determines whether or not the error 2 between the starting position information in the position information table 220 and the transmitting position information in the totaling table 230 is within a preset range. .

  Then, the measurement unit 1003 determines that the short-range wireless communication information in the aggregation table 230 is data generated based on the short-range wireless communication result if the error 1 and the error 2 are within the preset ranges, respectively. You may decide to do it. Thereby, falsification of the number C1 of collected terminals and the number C2 of discrete terminals transmitted in association with the posted information from the terminal device Mj can be prevented.

(Functional configuration example of the information disclosure server 201)
FIG. 11 is a block diagram illustrating a functional configuration example of the information disclosure server 201. In FIG. 11, the information disclosure server 201 includes an acquisition unit 1101, a reliability determination unit 1102, a risk determination unit 1103, and a disclosure control unit 1104. The acquisition unit 1101 to the disclosure control unit 1104 function as a control unit. Specifically, for example, by causing the CPU 401 to execute a program stored in a storage device such as the memory 402 and the disk 405 illustrated in FIG. Alternatively, the function is realized by the I / F 403. The processing result of each functional unit is stored in a storage device such as the memory 402 and the disk 405, for example.

  The acquisition unit 1101 acquires post information transmitted from the terminal device Mj. Here, the posting information is information about a certain event, and includes, for example, a disclosure information type, a comment, and an image. In addition, the posted information includes, for example, the number of gathered terminals C1, the number of discrete terminals C2, source identification information, and the like.

  Specifically, for example, the acquisition unit 1101 acquires the posting information transmitted from the terminal device Mj by receiving the posting information from the terminal device Mj. Further, the acquisition unit 1101 may acquire post information from another computer that collects post information transmitted from the terminal device Mj.

  The disclosed contents of the posted information, the disclosed information type, the source identification information, the number of collected terminals C1 and the number of discrete terminals C2 are stored in the corresponding fields of the disclosed information DB 240 shown in FIG. 7, for example. At this time, the acquisition unit 1101 may not treat post information that does not include either the number of collected terminals C1 or the number of discrete terminals C2 as disclosure information, and may not store it in the disclosure information DB 240.

  Further, the acquisition unit 1101 may not treat post information that does not include the sender identification information as disclosure information and store it in the disclosure information DB 240. As a result, post information whose source is unknown can be excluded as having no credibility. Also, post information that does not include the disclosure information type may not be treated as disclosure information and may not be stored in the disclosure information DB 240.

The reliability determination unit 1102 determines the first reliability R1 of the disclosure information Di based on the acquired number of collected terminals C1. The disclosure information Di is posting information registered in the disclosure information DB 240. Here, it can be said that as the number of field horses gathered at the same place as the information sender (disclosure source) increases, there is a higher possibility that an incident or accident has actually occurred. For this reason, for example, the reliability determination unit 1102 may determine that the first reliability R1 is “high” when the number of collected terminals C1 is equal to or higher than a pre-recorded high threshold value Th1 _High .

In addition, the reliability determination unit 1102 may determine that the first reliability R1 is “medium” when the number of collected terminals C1 is equal to or higher than the previously recorded low threshold Th1 _Low and lower than the high threshold Th1 _High. . Furthermore, the reliability determination unit 1102 may determine that the first reliability R1 is “low” when the number of collected terminals C1 is less than the low threshold Th1 _Low .

  Further, the reliability determination unit 1102 determines the second reliability R2 of the disclosure information Di based on the acquired number of discrete terminals C2. Here, of the field horses that gathered at the same place as the information sender (disclosure source), the more field horses that have stayed away from the place, the more likely that an incident or accident has actually occurred. It can be said that it is expensive.

In other words, if no incidents or accidents actually occurred at the place where the field horses gathered, it can be said that the number of field horses leaving the place will increase. For this reason, for example, the reliability determination unit 1102 may determine that the second reliability R2 is “low” when the number of discrete terminals C2 is equal to or higher than the high threshold Th2 _High recorded in advance.

In addition, the reliability determination unit 1102 may determine that the second reliability R2 is “medium” when the number of discrete terminals C2 is equal to or higher than the previously recorded low threshold Th2 _Low and lower than the high threshold Th2 _High. . Furthermore, the reliability determination unit 1102 may determine that the second reliability R2 is “high” when the number of discrete terminals C2 is less than the low threshold Th2 _Low .

  Further, the reliability determination unit 1102 determines the reliability R of the disclosure information Di based on the determined first reliability R1 and second reliability R2. Specifically, for example, the reliability determination unit 1102 may determine the reliability R of the disclosure information Di according to a matrix as illustrated in FIG.

  FIG. 12 is an explanatory diagram illustrating an example of determining the reliability R of the disclosure information Di. In FIG. 12, pattern 1 determines the reliability R of disclosure information Di (italic characters in FIG. 12) by giving priority to the second reliability R2 of the first reliability R1 and the second reliability R2. To do. For example, the second reliability R2 “high” means that the number of field horses away from the scene of an incident, an accident, etc. is small, which leads to high credibility. Therefore, for example, even if the first reliability R1 is “low”, the reliability determination unit 1102 determines that the reliability R is “high” if the second reliability R2 is “high”.

  On the other hand, the pattern 2 gives priority to the first reliability R1 of the first reliability R1 and the second reliability R2 to determine the reliability R (italic characters in FIG. 12) of the disclosure information Di. It is. For example, the first reliability R1 “high” means that there are a large number of field horses gathered at the scene of incidents, accidents, etc., which leads to higher credibility. Therefore, for example, even if the second reliability R2 is “low”, the reliability determination unit 1102 determines that the reliability R is “high” if the first reliability R1 is “high”.

  Thus, by changing the matrix, it becomes possible to determine the reliability R of the disclosure information Di in various patterns. Note that the determined first reliability R1, second reliability R2, and reliability R are set in the corresponding fields of the disclosure information Di in the disclosure information DB 240, for example.

  Returning to the description of FIG. 11, the acquisition unit 1101 transmits the location information of the event occurrence point and the date / time information for specifying the event occurrence time to the information providing server 202, so that the emergency vehicle is located at the event occurrence point. The dispatch information indicating whether or not has been dispatched may be acquired. Here, the location information of the event occurrence point is, for example, the disclosure source location of the disclosure information Di. The occurrence time of the event is, for example, the occurrence time of the disclosure information Di.

  The acquired dispatch information is set in the information difference field of the disclosure information Di in the disclosure information DB 240, for example. For example, if the dispatch information indicates that the emergency vehicle has dispatched, “None” is set in the information difference field. On the other hand, when the dispatch information indicates that the emergency vehicle is not dispatched, “present” is set in the information difference field.

  The reliability determination unit 1102 may determine the reliability R of the disclosure information Di based on the acquired dispatch information. Specifically, for example, when the information difference of the disclosure information Di is “present”, the reliability determination unit 1102 determines that the reliability R is “low” or decreases the level of the reliability R by one. It may be.

  The risk determination unit 1103 determines the event risk K based on the image data included in the disclosure information Di. Here, the image data is image data of an attached image attached to the posting information. Specifically, for example, the risk determination unit 1103 identifies the type of the event by analyzing the image data of the attached image. Then, the risk determination unit 1103 determines the event risk K based on the identified event type.

  More specifically, for example, the risk determination unit 1103 identifies a photographing object included in the attached image by analyzing the image data of the attached image. Next, the risk determination unit 1103 refers to the event type table 1300 illustrated in FIG. 13 and identifies the event type corresponding to the identified imaging object. Then, the risk determination unit 1103 refers to the risk table 1400 illustrated in FIG. 14 and identifies the risk K corresponding to the identified event type.

  FIG. 13 is an explanatory diagram showing an example of the contents stored in the event type table 1300. In FIG. 13, the event type table 1300 stores a photographing object and an event type in association with each other. As an example, the object to be photographed included in the attached image is “police officer”. In this case, the risk determination unit 1103 refers to the event type table 1300 and identifies the event type “incident or accident” corresponding to the object “the police officer”.

  FIG. 14 is an explanatory diagram showing an example of the contents stored in the risk level table 1400. In FIG. 14, the risk level table 1400 stores an event type and a risk level in association with each other. As an example, the event type is “incident or accident”. In this case, the risk determination unit 1103 refers to the risk table 1400 and specifies the risk K “high” corresponding to the event type “incident” or the event type “accident”.

  When a plurality of risk levels having different levels are specified, the risk level determination unit 1103 may prioritize a risk level having a higher level among the plurality of risk levels. Further, the determined risk K is set, for example, in the risk field of the disclosure information Di in the disclosure information DB 240.

  When the disclosure content of the disclosure information Di includes an article or audio data, the risk determination unit 1103 may determine the type of the event by analyzing the article or audio data. Specifically, for example, the risk determination unit 1103 may specify the type of event by analyzing an article or audio data and detecting words such as an incident, an accident, and a fire.

  Returning to the description of FIG. 11, the risk determination unit 1103 may specify the type of the event based on the image data included in the posted information. Furthermore, the risk determination unit 1103 may specify the type of event by analyzing an article or audio data included in the posted information.

  Thereby, the identified event type can be handled as the above-described disclosure information type, and post information that does not include the disclosure information type can also be stored in the disclosure information DB 240 as disclosure information.

  The disclosure control unit 1104 outputs the disclosure information Di to the disclosure destination based on the determined reliability R of the disclosure information Di. The disclosure destination may be, for example, a certain information transmission site, or may be the terminal device Mj set as the disclosure destination.

  Specifically, for example, first, the disclosure control unit 1104 identifies disclosure information Di having a reliability R equal to or higher than a threshold Rth among the disclosure information D1 to Dn in the disclosure information DB 240. The threshold value Rth can be arbitrarily set, and is set to “high”, “medium”, or the like, for example. Next, the disclosure control unit 1104 generates danger information based on the specified disclosure information Di. Then, the disclosure control unit 1104 may output the generated danger information to the disclosure destination.

  As an example, when the disclosure destination is the terminal device Mj, the disclosure control unit 1104 transmits the generated danger information to the terminal device Mj. In this case, the terminal device Mj receives the danger information from the information disclosure server 201 and displays it on the display 303. A specific example of the danger information displayed on the display 303 of the terminal device Mj will be described later with reference to FIG.

  Further, the disclosure control unit 1104 may output the disclosure information Di to the disclosure destination based on the determined risk K of the disclosure information Di. Specifically, for example, first, the disclosure control unit 1104 identifies disclosure information Di having a risk level K equal to or higher than a threshold value Kth among the disclosure information D1 to Dn in the disclosure information DB 240. The threshold value Kth can be arbitrarily set, and is set to “high”, “medium”, or the like, for example. Next, the disclosure control unit 1104 generates danger information based on the specified disclosure information Di. Then, the disclosure control unit 1104 may output the generated danger information to the disclosure destination.

  The disclosure control unit 1104 may output the disclosure information Di to the disclosure destination based on the determined reliability R and risk K of the disclosure information. Specifically, for example, first, the disclosure control unit 1104 identifies, among the disclosure information D1 to Dn in the disclosure information DB 240, the disclosure information Di having a reliability R that is greater than or equal to the threshold Rth and a risk K that is greater than or equal to the threshold Kth. . Next, the disclosure control unit 1104 generates danger information based on the specified disclosure information Di. Then, the disclosure control unit 1104 may output the generated danger information to the disclosure destination.

  Of the disclosure information D1 to Dn in the disclosure information DB 240, the disclosure information Di with the information validity “none” may be excluded from the disclosure target.

(Example of merge processing of post information for the same event)
For the same event, a plurality of pieces of post information may be posted from the same information sender or a plurality of information senders. In this case, the acquisition unit 1101 may merge a plurality of pieces of post information regarding the same event.

  Here, it is assumed that the second posting information is posted from the same information sender for the same event as the posting information 900 shown in FIG. At this time, it is assumed that the information sender has made the second posting without moving from the place where the posting information 900 was posted. Also, it is assumed that the disclosure information Di in the disclosure information DB 240 corresponding to the posted information 900 is “disclosure information D1”.

  FIG. 15 is an explanatory diagram (part 2) of a specific example of post information. In FIG. 15, post information 1500 is second post information posted from the same information sender for the same event as post information 900 (see FIG. 9). The posted information 1500 includes a disclosure information type “accident” and a comment “photo of the accident just before and a photo of heavy traffic”. Post information 1500 includes image data of an attached image. Also, the posting information 1500 is associated with the number of collected terminals C1 “10” and the number of discrete terminals C2 “1”.

  First, the acquisition unit 1101 determines whether or not the disclosure source position of the posting information 1500 matches the disclosure source position of the disclosure information D1 (posting information 900). However, a certain amount of error in the disclosure source position may be allowed. Here, the disclosure source position of the posting information 1500 matches the disclosure source position of the disclosure information D1 (posting information 900).

  In this case, the acquisition unit 1101 determines whether or not the disclosed information type “accident” in the posted information 1500 matches the event type “accident” in the disclosed information D1 (posted information 900). Here, the disclosed information type “accident” in the posted information 1500 matches the event type “accident” in the disclosed information D1 (posted information 900).

  In this case, the acquisition unit 1101 determines that the posting information 1500 is information about the same event as the disclosure information D1 (posting information 900). Then, the acquisition unit 1101 compares the number of collected terminals C1 “10” of the posted information 1500 with the number of collected terminals C1 “4” of the disclosed information D1 (posted information 900). Here, the number of collected terminals C1 “10” in the posted information 1500 is larger.

  In this case, the acquisition unit 1101 updates the number of gathering terminals C1 “4” of the disclosure information D1 (posting information 900) with the number of gathering terminals C1 “10” of the posting information 1500. In addition, the acquisition unit 1101 updates the number of discrete terminals C2 “2” in the disclosure information D1 (post information 900) with the number of discrete terminals C2 “1” in the post information 1500. Furthermore, the acquisition unit 1101 adds the image data of the attached image included in the posting information 1500 to the disclosure content of the disclosure information D1 (post information 900).

  FIG. 16 is an explanatory diagram showing an example of updating the disclosure information Di in the disclosure information DB 240. FIG. 16 shows an example of updating the disclosure information D1 in the disclosure information DB 240. Here, the number of collected terminals C1 of the disclosure information D1 is updated to “10”, the number of discrete terminals C2 of the disclosure information D1 is updated to “1”, and an image is added to the disclosure content of the disclosure information D1.

  In this case, the reliability determination unit 1102 may determine the reliability R of the disclosure information D1 again based on the updated number of collected terminals C1 and the number of discrete terminals C2. Further, the risk determination unit 1103 may determine the event risk K again based on the image (image data of the attached image) added to the disclosure content of the disclosure information D1.

  If the information sender of the posted information 1500 is different from the information sender of the posted information 900, the posting count X of the disclosed information D1 is incremented. Here, it can be said that the possibility that the incident, the accident, etc. have actually occurred is so high that the posting information about the same event is posted from a plurality of information senders. Therefore, the reliability determination unit 1102 increases the reliability R level of the disclosure information D1 by one, for example, when the posting count X of the disclosure information D1 becomes larger than the pre-recorded threshold value Xth. Good (for example, “low” → “medium”, “medium” → “high”).

(Example of information reference screen)
Next, a screen example of the information reference screen displayed on the display 303 of the terminal device Mj will be described. The information reference screen is displayed on the display 303 of the terminal device Mj, for example, in response to the danger information received by the terminal device Mj.

  FIG. 17 is an explanatory diagram illustrating a screen example of the information reference screen. In FIG. 17, an information reference screen 1700 is a screen that displays danger information 1710 that occurs at the time of XX month □□ day Δ △. Here, it is assumed that the danger information 1710 is generated based on the disclosure information D1 in the disclosure information DB 240.

  The danger information 1710 includes a comment (reference numeral 1711) on the incident / accident information, a risk level “high” (reference numeral 1712), and a credibility “high” (reference numeral 1713).

  The comment corresponds to an article included in the disclosure information D1. The risk level “high” corresponds to the risk level K of the disclosure information D1. The credibility “high” corresponds to the reliability R of the disclosure information D1. In addition, the danger information 1710 includes an image 1714 obtained by photographing the site. The image 1714 corresponds to the attached image included in the disclosure information D1. “XX month □□ day Δ △ hour” corresponds to the time of occurrence of the disclosure information D1.

  According to the danger information 1710, the information viewer can grasp the occurrence of an accident near the ●● station in the town at an early stage. Further, the information viewer can determine the accident risk level “high” and the credibility “high” of the risk information 1710. As a result, for example, when the information viewer heads to the destination, it is possible to consider changes in the destination and changes in the travel route in advance, avoiding entry into the dangerous area and preventing secondary disasters. be able to. Note that when the disclosure information D1 includes the name and handle name of the disclosure source, the name and handle name of the disclosure source may be indicated as the sender of the danger information 1710.

(Reliability evaluation processing procedure of information disclosure server 201)
Next, the reliability evaluation processing procedure of the information disclosure server 201 will be described.

  FIG. 18 is a flowchart illustrating an example of the credibility evaluation processing procedure of the information disclosure server 201. In the flowchart of FIG. 18, first, the information disclosure server 201 determines whether or not post information has been received from the terminal device Mj (step S1801). Here, the information disclosure server 201 waits to receive post information from the terminal device Mj (step S1801: No).

  Then, when the posted information is received from the terminal device Mj (step S1801: Yes), the information disclosure server 201 determines whether the sender information is included in the posted information (step S1802). Here, when the transmission source identification information is not included (step S1802: No), the information disclosure server 201 ends the series of processes according to this flowchart.

  On the other hand, when the sender identification information is included (step S1802: Yes), the information disclosure server 201 determines whether or not the disclosed information type is included in the posted information (step S1803). Here, when the disclosure information type is not included (step S1803: No), the information disclosure server 201 ends the series of processes according to this flowchart.

  On the other hand, when the disclosure information type is included (step S1803: Yes), the information disclosure server 201 determines whether the posted information includes the number of collected terminals C1 and the number of discrete terminals C2 (step S1804). Here, when the number of collected terminals C1 and the number of discrete terminals C2 are not included (step S1804: No), the information disclosure server 201 ends the series of processes according to this flowchart.

  On the other hand, when the number of collected terminals C1 and the number of discrete terminals C2 are included (step S1804: Yes), the information disclosure server 201 executes the same event determination process (step S1805). A specific processing procedure of the same event determination processing will be described later with reference to FIGS. 19 and 20.

  Next, the information disclosure server 201 determines whether or not the disclosed information disclosure type is new (step S1806). Here, when the disclosure type of the posted information is known (step S1806: No), the information disclosure server 201 ends the series of processes according to this flowchart.

  On the other hand, when the disclosure type of the posted information is new (step S1806: Yes), the information disclosure server 201 stores the posted information in the disclosed information DB 240 (step S1807). Thereby, the posting information is registered in the disclosure information DB 240 as the disclosure information Dn.

  Next, the information disclosure server 201 executes a reliability determination process for the disclosure information Di (step S1808). Note that the disclosure information Di to be processed in the reliability determination process in step S1808 is “disclosure information Dn” (i = n). A specific processing procedure of the reliability determination processing will be described later with reference to FIG.

  Then, the information disclosure server 201 executes a risk determination process for the disclosure information Di (step S1809), and ends a series of processes according to this flowchart. It should be noted that the disclosure information Di to be processed in the risk determination process in step S1809 is “disclosure information Dn” (i = n). A specific processing procedure of the risk determination processing will be described later with reference to FIGS.

  Thereby, the authenticity of the posting information transmitted from the terminal device Mj can be evaluated.

(Specific procedure for the same event judgment process)
Next, a specific processing procedure of the same event determination processing in step S1805 shown in FIG. 18 will be described.

  19 and 20 are flowcharts illustrating an example of a specific processing procedure of the same event determination processing. In the flowchart of FIG. 19, the information disclosure server 201 first sets the disclosure type of the posted information to be known (step S1901), and initializes “i” of the disclosure information Di with “i = 1” (step S1902).

  Next, the information disclosure server 201 determines whether “i” is greater than “n” (step S1903). If “i” is equal to or less than “n” (step S1903: No), the information disclosure server 201 reads the disclosure information Di from the disclosure information DB 240 (step S1904).

  Then, the information disclosure server 201 determines whether or not the disclosure source position included in the posted information matches the disclosure source position of the disclosure information Di (step S1905). If the disclosure source positions do not match (step S1905: NO), the information disclosure server 201 increments “i” (step S1906) and returns to step S1903.

  On the other hand, when the disclosure source positions match (step S1905: Yes), the information disclosure server 201 determines whether or not the event type indicated by the disclosure information type included in the posted information matches the event type of the disclosure information Di. (Step S1907). If the event types do not match (step S1907: NO), the information disclosure server 201 proceeds to step S1906.

  On the other hand, when the event types match (step S1907: Yes), the information disclosure server 201 determines whether or not the disclosure source included in the posted information matches the disclosure source of the disclosure information Di (step S1908). If the disclosure sources match (step S1908: YES), the information disclosure server 201 determines whether or not the disclosure content (article, image, etc.) included in the posted information has been updated (step S1909).

  If the disclosed content has not been updated (step S1909: No), the information disclosure server 201 returns to the step that called the same event determination process. On the other hand, when the disclosure content is updated (step S1909: Yes), the information disclosure server 201 adds the disclosure content included in the posted information to the disclosure content of the disclosure information Di (step S1910).

  Then, the information disclosure server 201 executes a risk determination process for the disclosure information Di (step S1911), and returns to the step that called the same event determination process. In step S1903, when “i” is larger than “n” (step S1903: Yes), the information disclosure server 201 sets the posting type of the posted information as new (step S1912) and calls the same event determination process. Return to.

  If the disclosure sources do not match in step S1908 (step S1908: No), the information disclosure server 201 proceeds to step S2001 shown in FIG.

  In the flowchart of FIG. 20, first, the information disclosure server 201 determines whether or not disclosure content (article, image, etc.) is included in the posted information (step S2001). If the disclosed content is not included (step S2001: NO), the information disclosure server 201 proceeds to step S2004.

  On the other hand, when the disclosure content is included (step S2001: Yes), the information disclosure server 201 adds the disclosure content included in the posted information to the disclosure content of the disclosure information Di (step S2002). Then, the information disclosure server 201 executes a risk determination process for the disclosure information Di (step S2003).

  Next, the information disclosure server 201 determines whether or not the number of collected terminals C1 included in the posted information is increased from the number of collected terminals C1 of the disclosed information Di (step S2004). Here, when the number C1 of gathering terminals has not increased (step S2004: No), the information disclosure server 201 proceeds to step S2008.

  On the other hand, when the number of gathering terminals C1 is increasing (step S2004: Yes), the information disclosure server 201 updates the number of gathering terminals C1 of the disclosure information Di with the number of gathering terminals C1 included in the posted information (step S2005). ). Next, the information disclosure server 201 updates the number of discrete terminals C2 of the disclosure information Di with the number of discrete terminals C2 included in the posted information (step S2006).

  Then, the information disclosure server 201 executes a reliability determination process for the disclosure information Di (step S2007). Next, the information disclosure server 201 increments the posting count X of the disclosure information Di (step S2008), and determines whether the posting count X is greater than the threshold value Xth (step S2009).

  Here, when the posting number X is equal to or less than the threshold value Xth (step S2009: No), the information disclosure server 201 returns to the step of calling the same event determination process. On the other hand, when the posting count X is greater than the threshold value Xth (step S2009: Yes), the information disclosure server 201 increases the level of reliability R of the disclosure information Di by one (step S2010), and performs the same event determination process. Return to the calling step.

  Thereby, the posting information and the disclosure information Di for the same event can be merged, and the reliability R and the risk level K of the disclosure information Di can be determined again.

(Specific processing procedure for reliability judgment processing)
Next, a specific processing procedure of the reliability determination processing in step S1808 shown in FIG. 18 will be described.

  FIG. 21 is a flowchart illustrating an example of a specific processing procedure of the reliability determination processing. In the flowchart of FIG. 21, first, the information disclosure server 201 sets the reliability R of the disclosure information Di to “low” (step S2101).

  Then, the information disclosure server 201 executes a first reliability determination process for the disclosure information Di (step S2102). A specific processing procedure of the first reliability determination processing will be described later with reference to FIG. Next, the information disclosure server 201 executes a second reliability determination process for the disclosure information Di (step S2103). A specific processing procedure of the second reliability determination processing will be described later with reference to FIG.

  The information disclosure server 201 executes the comprehensive reliability determination process for the disclosed information Di (step S2104), and returns to the step that called the reliability determination process. A specific processing procedure of the comprehensive reliability determination process will be described later with reference to FIG. Thereby, the reliability R of the disclosure information Di can be determined.

(Specific processing procedure of first reliability determination processing)
Next, a specific processing procedure of the first reliability determination process in step S2102 shown in FIG. 21 will be described.

  FIG. 22 is a flowchart illustrating an example of a specific processing procedure of the first reliability determination process. In the flowchart of FIG. 22, first, the information disclosure server 201 extracts the number of collected terminals C1 of the disclosure information Di from the disclosure information DB 240 (step S2201). Next, the information disclosure server 201 determines whether or not the number of gathering terminals C1 is “0” (step S2202).

Here, when the number of collected terminals C1 is “0” (step S2202: Yes), the information disclosure server 201 proceeds to step S2207. On the other hand, when the number of gathering terminals C1 is not “0” (step S2202: No), the information disclosure server 201 determines whether the number of gathering terminals C1 is equal to or higher than the high threshold Th1 _High (step S2203).

Here, when the number of gathering terminals C1 is greater than or equal to the high threshold Th1 _High (step S2203: Yes), the information disclosure server 201 sets the first reliability R1 of the disclosure information Di to “high” (step S2204), The process returns to the step that called the first reliability determination process.

On the other hand, when the number of gathering terminals C1 is less than the high threshold Th1 _High (step S2203: No), the information disclosure server 201 determines whether or not the number of gathering terminals C1 is equal to or higher than the low threshold Th1 _Low (step S2205).

Here, when the number of gathering terminals C1 is equal to or greater than the low threshold Th1 _Low (step S2205: Yes), the information disclosure server 201 sets the first reliability R1 of the disclosure information Di to “medium” (step S2206). The process returns to the step that called the first reliability determination process.

On the other hand, when the number C1 of gathering terminals is less than the low threshold Th1 _Low (step S2205: No), the information disclosure server 201 sets the first reliability R1 of the disclosure information Di to “low” (step S2207). Return to the step that called the 1 reliability determination process.

  Thereby, the first reliability R1 of the disclosed information Di can be determined based on the number of field horses gathered at the same place as the information sender (sender).

(Specific processing procedure of second reliability determination processing)
Next, a specific processing procedure of the second reliability determination process in step S2103 shown in FIG. 21 will be described.

  FIG. 23 is a flowchart illustrating an example of a specific processing procedure of the second reliability determination process. In the flowchart of FIG. 23, first, the information disclosure server 201 extracts the number of discrete terminals C2 of the disclosure information Di from the disclosure information DB 240 (step S2301). Next, the information disclosure server 201 determines whether or not the number of discrete terminals C2 is “0” (step S2302).

Here, when the number of discrete terminals C2 is “0” (step S2302: Yes), the information disclosure server 201 proceeds to step S2307. On the other hand, when the number of discrete terminals C2 is not “0” (step S2302: No), the information disclosure server 201 determines whether or not the number of discrete terminals C2 is equal to or higher than the high threshold Th2 _High (step S2303).

Here, when the number of discrete terminals C2 is equal to or higher than the high threshold Th2 _High (step S2303: Yes), the information disclosure server 201 sets the second reliability R2 of the disclosure information Di to “low” (step S2304). The process returns to the step that called the second reliability determination process.

On the other hand, when the number of discrete terminals C2 is less than the high threshold Th2 _High (step S2303: No), the information disclosure server 201 determines whether the number of discrete terminals C2 is equal to or higher than the low threshold Th2 _Low (step S2305).

Here, when the number of discrete terminals C2 is equal to or greater than the low threshold Th2 _Low (step S2305: Yes), the information disclosure server 201 sets the second reliability R2 of the disclosure information Di to “medium” (step S2306). The process returns to the step that called the second reliability determination process.

On the other hand, when the number of discrete terminals C2 is less than the low threshold Th2 _Low (step S2305: No), the information disclosure server 201 sets the second reliability R2 of the disclosure information Di to “high” (step S2307), 2. Return to the step that called the reliability determination process.

  As a result, the second reliability R2 of the disclosed information Di can be determined based on the number of field horses separated from the field horses gathered at the same place as the information sender (sender).

(Specific processing procedures for comprehensive reliability judgment processing)
Next, a specific processing procedure of the reliability comprehensive determination process in step S2104 shown in FIG. 21 will be described.

  FIG. 24 is a flowchart illustrating an example of a specific processing procedure of the comprehensive reliability determination process. In the flowchart of FIG. 24, first, the information disclosure server 201 determines whether or not the first reliability R1 of the disclosure information Di is “high” (step S2401).

  Here, when the first reliability R1 is “high” (step S2401: Yes), the information disclosure server 201 sets the reliability R of the disclosure information Di to “high” (step S2402), and the overall reliability. Return to the step that called the decision process. On the other hand, when the first reliability R1 is not “high” (step S2401: No), the information disclosure server 201 determines whether the second reliability R2 of the disclosure information Di is “high” (step S2401: No). S2403).

  Here, when the second reliability R2 is “high” (step S2403: Yes), the information disclosure server 201 proceeds to step S2402. On the other hand, when the second reliability R2 is not “high” (step S2403: No), the information disclosure server 201 determines whether or not the first reliability R1 of the disclosure information Di is “medium” (step S2403). S2404).

  Here, when the first reliability R1 is “medium” (step S2404: Yes), the information disclosure server 201 sets the reliability R of the disclosure information Di to “medium” (step S2405), and the overall reliability. Return to the step that called the decision process. On the other hand, when the first reliability R1 is not “medium” (step S2404: No), the information disclosure server 201 determines whether or not the second reliability R2 of the disclosure information Di is “medium” (step S2404). S2406).

  If the second reliability R2 is “medium” (step S2406: YES), the information disclosure server 201 proceeds to step S2405. On the other hand, when the second reliability R2 is not “medium” (step S2406: No), the information disclosure server 201 returns to the step that called the reliability comprehensive determination process.

  Thereby, the reliability R of the disclosed information Di can be determined based on the number of field horses gathered at the same place as the information sender (sender) and the number of field horses separated from the place.

(Specific processing procedure for risk determination processing)
Next, a specific processing procedure of the risk determination processing in step S1809 shown in FIG. 18 will be described.

  25 and 26 are flowcharts showing an example of a specific processing procedure of the risk determination processing. In the flowchart of FIG. 25, first, the information disclosure server 201 determines whether an image is included in the disclosure content of the disclosure information Di (step S2501).

  If no image is included (step S2501: No), the information disclosure server 201 returns to the step that called the risk determination process. On the other hand, when an image is included (step S2501: Yes), the information disclosure server 201 analyzes the image (step S2502) and determines whether or not “police officer” is included in the image (step S2503). .

  Here, when “police officer” is not included (step S2503: NO), the information disclosure server 201 proceeds to step S2505. On the other hand, when “police officer” is included (step S2503: Yes), the information disclosure server 201 refers to the event type table 1300 and sets the event type “incident or accident” corresponding to “police officer” as an occurrence event. It adds (step S2504).

  Next, the information disclosure server 201 determines whether or not “firefighter” is included in the image (step S2505). Here, when “firefighter” is not included (step S2505: NO), the information disclosure server 201 proceeds to step S2507. On the other hand, when “firefighter” is included (step S2505: Yes), the information disclosure server 201 refers to the event type table 1300 and sets the event type “accident or fire” corresponding to “firefighter” as an occurrence event. It adds (step S2506).

  Next, the information disclosure server 201 determines whether or not “accident vehicle” is included in the image (step S2507). If “accident car” is not included (step S2507: NO), the information disclosure server 201 proceeds to step S2509. On the other hand, when “accident vehicle” is included (step S2507: Yes), the information disclosure server 201 refers to the event type table 1300 and adds the event type “accident” corresponding to “accident vehicle” to the occurrence event. (Step S2508).

  Next, the information disclosure server 201 determines whether or not “flame” is included in the image (step S2509). Here, when “flame” is not included (step S2509: NO), the information disclosure server 201 proceeds to step S2601 shown in FIG. On the other hand, when “flame” is included (step S2509: Yes), the information disclosure server 201 refers to the event type table 1300 and adds the event type “fire” corresponding to “flame” to the occurrence event ( Step S2510) and the process proceeds to Step S2601 shown in FIG.

  In the flowchart of FIG. 26, first, the information disclosure server 201 sets the risk K of the disclosure information Di to “low” (step S2601). Next, the information disclosure server 201 determines whether or not “fire” is included in the occurrence event (step S2602).

  Here, when “fire” is not included (step S2602: NO), the information disclosure server 201 proceeds to step S2604. On the other hand, when “fire” is included (step S2602: YES), the information disclosure server 201 refers to the risk level table 1400 and sets the risk level K of the disclosure information Di to “medium” (step S2603).

  Next, the information disclosure server 201 determines whether or not “occurrence” is included in the occurrence event (step S2604). Here, when “accident” is not included (step S2604: No), the information disclosure server 201 proceeds to step S2606. On the other hand, when “accident” is included (step S2604: Yes), the information disclosure server 201 refers to the risk level table 1400 and sets the risk level K of the disclosure information Di to “high” (step S2605).

  Next, the information disclosure server 201 determines whether or not “incident” is included in the generated event (step S2606). Here, when the “incident” is not included (step S2606: No), the information disclosure server 201 returns to the step of calling the risk determination process. On the other hand, when “incident” is included (step S2606: Yes), the information disclosure server 201 refers to the risk level table 1400 and sets the risk level K of the disclosure information Di to “high” (step S2607). Return to the step that called the risk determination process.

  As a result, the risk K of the disclosure information Di can be determined based on the occurrence event specified from the object to be photographed shown in the attached image.

  As described above, according to the information disclosure server 201 according to the embodiment, the first reliability R1 of the disclosure information Di (post information) can be determined based on the number of gathered terminals C1. As a result, the greater the number of field horses gathered at the same place as the information sender (sender), the higher the probability that an incident or accident has actually occurred. Therefore, the authenticity of the disclosed information Di can be evaluated.

  Moreover, according to the information disclosure server 201, the second reliability R2 of the disclosure information Di (post information) can be determined based on the number of discrete terminals C2. As a result, if there are no actual incidents or accidents at the place where the field horses gathered, the number of field horses leaving the place will be used to increase the number of field horses leaving the number of discrete terminals C2. As a result, the authenticity of the disclosure information Di can be evaluated.

  Further, according to the information disclosure server 201, the reliability R of the disclosure information Di (post information) can be determined based on the first reliability R1 and the second reliability R2. This makes it possible to comprehensively evaluate the credibility of the disclosed information Di in consideration of the number of field horses gathered at the same place as the information sender (source) and the number of field horses away from the place. it can.

  Further, according to the information disclosure server 201, the event type is specified based on the image data of the attached image of the disclosure information Di (post information), and the risk of the disclosure information Di (post information) is determined based on the specified event type. The degree K can be determined. Thereby, the degree of danger of the occurrence event indicated by the disclosure information Di can be evaluated.

  Further, according to the information disclosure server 201, whether or not an emergency vehicle has been dispatched to the event occurrence point by transmitting the position information of the event occurrence point and the date / time information for specifying the occurrence time to the information providing server 202. Dispatch information indicating that can be acquired. The information disclosure server 201 can further determine the reliability R of the disclosure information Di (post information) based on the acquired dispatch information. As a result, the reliability R can be determined in consideration of the dispatch situation of the emergency vehicle to the event occurrence point, and the reliability evaluation accuracy of the disclosed information Di can be improved.

  Further, according to the information disclosure server 201, the disclosure information can be output to the disclosure destination based on the reliability R of the disclosure information Di. Thereby, information with high credibility can be selected and information disclosed, and false information posted by a malicious information disclosing person can be prevented from being disclosed.

  Therefore, according to the information disclosure server 201, it becomes possible to select highly credible information from information on incidents and accidents disclosed using social media, etc., and the occurrence of incidents and accidents etc. Can be notified at an early stage. As a result, it is possible to prevent a secondary / tertiary disaster by preventing entry into a dangerous area in which an incident or accident occurs.

  The credibility evaluation method described in the present embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. The reliability evaluation program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. The authenticity evaluation program may be distributed via a network such as the Internet.

  The following additional notes are disclosed with respect to the embodiment described above.

(Supplementary note 1)
Obtaining the number of other terminal devices searched by short-range wireless communication of the terminal device when the terminal device transmits post information about an event,
Determining the reliability of the posted information based on the obtained number of the other terminal devices;
A credibility evaluation program characterized by causing processing to be executed.

(Supplementary Note 2) The number of the other terminal devices is the number of other terminal devices searched by the short-range wireless communication of the terminal device from when a predetermined operation input is performed in the terminal device to when the posted information is transmitted. The reliability evaluation program according to supplementary note 1, wherein the reliability evaluation program is the number of terminal devices.

(Supplementary Note 3)
Further, among other terminal devices searched by the short-range wireless communication of the terminal device, obtain the number of other terminal devices that are outside the communication range of the short-range wireless communication,
The determination process is as follows:
Furthermore, the reliability evaluation program according to appendix 2, wherein the reliability of the posted information is determined based on the number of other terminal devices that are out of the communication range of the short-range wireless communication.

(Supplementary note 4)
Based on the image data included in the post information, identify the type of the event,
Determining the risk of the event based on the identified type of the event;
The credibility evaluation program according to any one of appendices 1 to 3, wherein the process is executed.

(Supplementary note 5)
The emergency vehicle is dispatched to the occurrence point by transmitting position information of the occurrence point of the event and date / time information specifying the occurrence time of the event to an information providing device that stores the dispatch history of the emergency vehicle. Execute the process to obtain dispatch information that indicates whether or not
The determination process is as follows:
Furthermore, the reliability evaluation program according to any one of appendices 1 to 4, wherein the reliability of the posted information is determined based on the acquired dispatch information.

(Appendix 6)
6. The credibility evaluation program according to any one of appendices 1 to 5, wherein a process of outputting the posted information to a disclosure destination is executed based on the determined reliability of the posted information.

(Additional remark 7) The said predetermined operation input is an operation input for starting the application for posting the said posting information, The reliability evaluation program of Additional remark 2 characterized by the above-mentioned.

(Appendix 8)
Obtaining the number of other terminal devices searched by short-range wireless communication of the terminal device when the terminal device transmits post information about an event,
Determining the reliability of the posted information based on the obtained number of the other terminal devices;
A computer-readable recording medium on which a credibility evaluation program for executing processing is recorded.

(Supplementary note 9)
Obtaining the number of other terminal devices searched by short-range wireless communication of the terminal device when the terminal device transmits post information about an event,
Determining the reliability of the posted information based on the obtained number of the other terminal devices;
A credibility evaluation method characterized by executing processing.

(Supplementary Note 10) When the terminal device transmits post information on a certain event, the number of other terminal devices searched by the short-range wireless communication of the terminal device is acquired, and the acquired number of the other terminal devices is obtained. Based on the control unit for determining the reliability of the posted information,
An information processing apparatus comprising:

DESCRIPTION OF SYMBOLS 100 Information processing apparatus 200 System 201 Information disclosure server 202 Information provision server 220 Position information table 230 Total table 240 Disclosure information DB
DESCRIPTION OF SYMBOLS 1001 Reception part 1002 Near field communication control part 1003 Measurement part 1004 Transmission part 1101 Acquisition part 1102 Reliability judgment part 1103 Risk degree judgment part 1104 Disclosure control part M, M1-Mm, Mj, Mk Terminal device

Claims (8)

On the computer,
Obtaining the number of other terminal devices searched by short-range wireless communication of the terminal device when the terminal device transmits post information about an event,
Determining the reliability of the posted information based on the obtained number of the other terminal devices;
A credibility evaluation program characterized by causing processing to be executed.   The number of other terminal devices is the number of other terminal devices searched by short-range wireless communication of the terminal device after the predetermined operation input is performed in the terminal device and before the posting information is transmitted. The credibility evaluation program according to claim 1, wherein: The process to obtain is
Further, among other terminal devices searched by the short-range wireless communication of the terminal device, obtain the number of other terminal devices that are outside the communication range of the short-range wireless communication,
The determination process is as follows:
The reliability evaluation program according to claim 2, further comprising determining the reliability of the posted information based on the number of other terminal devices that are out of a communication range of the short-range wireless communication. In the computer,
Based on the image data included in the post information, identify the type of the event,
Determining the risk of the event based on the identified type of the event;
The credibility evaluation program according to any one of claims 1 to 3, wherein the process is executed. In the computer,
The emergency vehicle is dispatched to the occurrence point by transmitting position information of the occurrence point of the event and date / time information specifying the occurrence time of the event to an information providing device that stores the dispatch history of the emergency vehicle. Execute the process to obtain dispatch information that indicates whether or not
The determination process is as follows:
Furthermore, the reliability evaluation program of any one of Claims 1-4 which judges the reliability of the said posting information based on the acquired said dispatch information. In the computer,
The credibility evaluation program according to any one of claims 1 to 5, wherein a process of outputting the posted information to a disclosure destination is executed based on the determined reliability of the posted information. Computer
Obtaining the number of other terminal devices searched by short-range wireless communication of the terminal device when the terminal device transmits post information about an event,
Determining the reliability of the posted information based on the obtained number of the other terminal devices;
A credibility evaluation method characterized by executing processing. When the terminal device transmits posted information about a certain event, the number of other terminal devices searched by the short-range wireless communication of the terminal device is acquired, based on the acquired number of the other terminal devices, A control unit that determines the reliability of the posted information,
An information processing apparatus comprising:

Images