Information processing device, information management program, and information management method

Abstract

In the present invention, when an assessment request pertaining to the certainty of a specific post uploaded on the Internet is received, one or more pieces of property information indicating the certainty of the specific post are acquired from a first storage unit; for each of the one or more pieces of acquired property information, first information indicating the degree at which the piece of property information affirms details about the specific post is generated; for each of the one or more pieces of acquired property information, second information indicating the degree of a reliability pertaining to a subject for which the piece of property information is generated; and the certainty of the specific post is assessed on the basis of the first information and the second information pertaining to each of the one or more pieces of property information; and an assessment result for the certainty of the specific post is output.

Description

Information processing device, information management program, and information management method

[0001] The present invention relates to an information processing device, an information management program, and an information management method.

[0002] In recent years, with the spread of smartphones and social networking services (SNS), it has become possible to send and view information on the Internet regardless of time or place. However, information sent in this way may include, for example, intentionally spread false or inaccurate information (hereinafter also referred to as "fake information"), and may be disseminated depending on the circumstances.

[0003] Therefore, in order to prevent the spread of false information such as that described above, various methods are sometimes used to verify the authenticity of posts on the Internet.

[0004] Specifically, when a viewer of a post (hereinafter simply referred to as a viewer) views such a post, the viewer determines whether the poster is a trustworthy person, for example, by utilizing a method other than the Internet, such as a prior contract, or an individual information processing system, etc. Then, if the viewer determines that the poster is a trustworthy person, the viewer determines that the content of the post by the poster is likely to be reliable (see, for example, Patent Documents 1 to 4).

[0005] JP 2014-134944 A JP 2022-021099 A U.S. Patent Application Publication No. 2019 / 0179956 U.S. Patent Application Publication No. 2013 / 0066730

[0006] However, when using methods other than the Internet or individual information processing systems as described above, viewers cannot directly determine the reliability of each post on the Internet from the content of each post, and therefore may not be able to fully confirm the reliability of each post.

[0007] Therefore, in one aspect, the present invention aims to provide an information processing device, an information management program, and an information management method that enable the authenticity of posts uploaded to the Internet to be confirmed.

[0008] In one aspect of the embodiment, when a request is received to determine the likelihood of a specific post uploaded to the Internet, one or more pieces of property information indicating the likelihood are obtained from a first memory unit, and for each of the obtained one or more pieces of property information, first information is generated indicating the degree to which each piece of property information affirms the content of the specific post, and for each of the obtained one or more pieces of property information, second information is generated indicating the degree to which the creator of each piece of property information is trustworthy, and the likelihood is determined based on the first information and the second information for each of the one or more pieces of property information, and the likelihood determination result is output.

[0009] According to one aspect, it becomes possible to verify the authenticity of posts uploaded to the Internet.

[0010] FIG. 1 is a diagram illustrating a configuration of an information processing system 10. FIG. 2 is a diagram illustrating a hardware configuration of an information processing device 1. FIG. 3 is a diagram illustrating functions of the information processing device 1 in the first embodiment. FIG. 4 is a diagram illustrating information stored in the storage devices 3 and 4 in the first embodiment. FIG. 5 is a flowchart illustrating an outline of information management processing in the first embodiment. FIG. 6 is a flowchart illustrating addition processing in the first embodiment. FIG. 7 is a diagram illustrating addition processing in the first embodiment. FIG. 8 is a diagram illustrating a specific example of correspondence information 132. FIG. 9 is a diagram illustrating a specific example of property information 131. FIG. 10 is a diagram illustrating a specific example of post identification information 133. FIG. 11 is a diagram illustrating a specific example of graph information 134. FIG. 12 is a diagram illustrating a specific example of property information 131. FIG. 13 is a diagram illustrating a specific example of property information 131. FIG. 14 is a diagram illustrating a specific example of property information 131. FIG. 15 is a diagram illustrating a specific example of property information 131. FIG. 16 is a diagram illustrating a specific example of property information 131. FIG. 17 is a flowchart illustrating the determination process in the first embodiment. FIG. 18 is a flowchart illustrating the determination process in the first embodiment. FIG. 19 is a flowchart illustrating the determination process in the first embodiment. FIG. 20 is a flowchart illustrating the determination process in the first embodiment. FIG. 21 is a flowchart illustrating the determination process in the first embodiment. FIG. 22 is a diagram illustrating the determination process in the first embodiment. FIG. 23 is a diagram illustrating the determination process in the first embodiment. FIG. 24 is a diagram illustrating a specific example of first list information 135. FIG. 25 is a diagram illustrating the determination process in the first embodiment. FIG. 26 is a diagram illustrating a specific example of second list information 136. FIG. 27 is a diagram illustrating the determination process in the first embodiment. FIG. 28 is a diagram illustrating the determination process in the first embodiment. FIG. 29 is a diagram illustrating the determination process in the first embodiment.Fig. 30 is a diagram illustrating the determination process in the first embodiment. Fig. 31 is a diagram illustrating a specific example of output information OP. Fig. 32 is a diagram illustrating a specific example of output information OP.

[0011] [Configuration of Information Processing System in First Embodiment] First, a description will be given of the configuration of an information processing system 10. FIG.

[0012] 1 includes, for example, an information processing device 1, an operation terminal 2a, an operation terminal 2b, a storage device 3a, a storage device 3b, a storage device 3c, and a storage device 4. Hereinafter, operation terminal 2a and operation terminal 2 will be collectively referred to simply as operation terminal 2. Hereinafter, storage device 3a, storage device 3b, and storage device 3c will be collectively referred to simply as storage device 3.

[0013] The operation terminal 2 is, for example, a terminal owned by a contributor P1 or a viewer P2, and is a terminal capable of accessing a content server (not shown) on the Internet IN.

[0014] In the example shown in Fig. 1, the operating terminal 2a is, for example, a terminal owned by a poster P1, and the poster P1 uploads a post DT to a content server on the Internet IN. Specifically, the operating terminal 2a may be, for example, a smartphone owned by the poster P1. Furthermore, the operating terminal 2a is capable of accessing the information processing device 1 via the Internet IN, for example. The post DT may be, for example, a text posted on an SNS.

[0015] The operation terminal 2b is, for example, a terminal owned by the viewer P2, and is used to view the post DT uploaded by the contributor P1 to a content server on the Internet IN. Specifically, the operation terminal 2b may be, for example, a smartphone owned by the viewer P2. The operation terminal 2b can access the information processing device 1 via the Internet IN, for example.

[0016] Note that poster P1 may, for example, view posts uploaded by other posters (not shown) via operation terminal 2a. Also, viewer P2 may, for example, upload posts to the Internet IN via operation terminal 2b. Furthermore, although the following description will be given of a case in which the information processing system 10 includes two operation terminals 2 (operation terminal 2a and operation terminal 2b), the information processing system 10 may, for example, include three or more operation terminals 2.

[0017] The storage device 3 is, for example, a hard disk drive (HDD) or a solid state drive (SSD), and stores property information 131 added by the contributor P1, the viewer P2, etc. (hereinafter also referred to as the creator P3) to the post DT uploaded by the contributor P1 on the Internet IN. The creator P3 is, for example, a person or thing that generates the property information 131, and includes people other than the contributor P1 or the viewer P2 and devices that automatically generate the property information 131. Furthermore, the property information 131 is, for example, information used as a criterion for determining the reliability of the content of the post DT. Specifically, the property information 131 is, for example, information indicating the creator P3's opinion on the content of the post DT, information indicating attributes such as the qualifications held by the contributor P1 of the post DT and the organization to which he or she belongs, and information indicating attributes of the image data included in the post DT (for example, the location and date and time of the photo).

[0018] 1, for example, storage device 3a, storage device 3b, and storage device 3c each store property information 131 generated by different generating entities P3. That is, in the example shown in FIG. 1, each piece of property information 131 is distributed and stored in multiple storage devices 3 (storage device 3a, storage device 3b, and storage device 3c). Note that, although the following description will be given assuming that the information processing system 10 includes three storage devices 3 (storage device 3a, storage device 3b, and storage device 3c), the information processing system 10 may include, for example, a number of storage devices 3 other than three.

[0019] The storage device 4 stores, for example, correspondence information 132 indicating the storage device 3 in which each piece of property information 131 is stored. The correspondence information 132 is, for example, information that associates each post DT uploaded to the Internet IN with the storage device 3 that stores information related to each post DT (e.g., property information 131 for each post DT). The correspondence information 132 is, for example, information that associates each creator P3 with the storage device 3 that stores information related to each creator P3 (e.g., property information 131 for each creator P3). Specifically, the correspondence information 132 may be, for example, information that associates each post DT with a uniform resource locator (URL) used to access the property information 131 of each post DT. The correspondence information 132 may be, for example, information that associates each creator P3 with a URL used to access the property information 131 of each creator P3.

[0020] The information processing device 1 is, for example, one or more physical machines or one or more virtual machines, and performs a process of managing property information 131 about posted DTs (hereinafter also referred to as information management process).

[0021] Specifically, the information processing device 1 in this embodiment receives, for example, property information 131 (hereinafter also referred to as specific property information 131) indicating the reliability of a post DT (hereinafter also referred to as a specific post DT) uploaded to the Internet IN, and a digital signature (hereinafter also referred to as a specific digital signature) generated from the specific property information 131. Then, the information processing device 1, for example, references a storage device 4 that stores correspondence information 132 (hereinafter also referred to simply as correspondence information 132) that associates each post DT with a storage device 3 that stores information related to each post DT, and identifies a storage device 3 (hereinafter also referred to as a specific storage device 3) corresponding to the specific post DT from among the multiple storage devices 3. Thereafter, the information processing device 1 stores, for example, the specific property information 131, to which identification information of the specific post DT and the specific digital signature have been added, in the specific storage device 3 (hereinafter also referred to as a storage unit).

[0022] That is, the information processing device 1 in this embodiment ensures the authenticity and non-tampering of each piece of property information 131 by, for example, storing each piece of property information 131 with a digital signature generated by the generator P3 of each piece of property information 131 attached thereto. Also, the information processing device 1 in this embodiment stores each piece of property information 131 in, for example, a storage device 3 determined in accordance with correspondence information 132 generated in advance.

[0023] As a result, when the viewer P2 views a post DT uploaded to the Internet IN, for example, the viewer P2 can appropriately determine the reliability of the post DT by referring to the property information 131 for the post DT. Furthermore, the viewer P2 can view each piece of property information 131 even if the property information 131 is stored in a distributed manner in multiple storage devices 3.

[0024] In addition, in the information processing device 1 of this embodiment, for example, if other property information 131 (hereinafter simply referred to as other property information 131) corresponding to a person or object related to a specific post DT is already stored in a specific storage device 3, the information processing device 1 stores the specific property information 131 corresponding to the specific post DT in association with the other property information 131.

[0025] That is, in this embodiment, when storing each piece of property information 131 in the storage device 3, the information processing device 1 forms a graph structure by associating each piece of property information 131 with other property information 131 about the creator P3 of the property information 131, and other property information 131 about the object of the posted DT corresponding to each piece of property information 131.

[0026] This allows viewer P2 to, for example, trace and check other property information 131 related to each post DT in order even if he / she is unable to determine the reliability of each post DT from the contents of the property information 131 for each post DT, thereby making it possible to determine the reliability of each post DT.

[0027] Specifically, when viewer P2 views a post DT that includes the sentence, "The XX River near my house has flooded!", viewer P2 can also check the property information 131 about the post DT (for example, property information 131 about the image data included in the post DT). Then, if viewer P2 determines that the location and date and time described in the post DT are close to the location and date and time included in the property information 131 (the location and date and time of shooting of the image data included in the post DT), viewer P2 can determine that the content of the post DT is not false information.

[0028] In contrast, for example, if property information 131 including content that the flood alert level for the X River is low is associated with the post DT, viewer P2 can determine that the content of the post DT is likely to be false information by, for example, referring to the property information 131. Furthermore, for example, if viewer P2 traces and refers to property information 131 (other property information 131) about creator P3 of property information 131 indicating the flood alert level for the X River and finds that creator P3 of property information 131 indicating the flood alert level for the X River is an employee of an administrative agency (for example, an agency that manages the X River), viewer P2 can determine, for example, that there is a high possibility that the content of the post DT is false information.

[0029] Furthermore, when the information processing device 1 in this embodiment receives information requesting a determination of the reliability of a specific post DT (hereinafter also referred to as determination request information), it refers to the storage device 4 that stores the correspondence information 132 and identifies a specific storage device 3 that corresponds to the specific post DT from the multiple storage devices 3. Then, the information processing device 1 refers to the specific storage device 3, for example, and acquires, from the specific storage device 3, specific property information 131 that indicates the reliability of the specific post DT.

[0030] Thereafter, the information processing device 1 generates, for example, information indicating the degree of affirmation of the content of the specific post DT for each of the acquired specific property information 131 (hereinafter also referred to as affirmation information or first information). The information processing device 1 also generates, for example, information indicating the degree of reliability of the creator P3 for each of the acquired specific property information 131 (hereinafter also referred to as reliability information or second information). Furthermore, the information processing device 1 determines the reliability of the specific post DT based on, for example, the affirmation information and reliability information for each of the acquired specific property information 131. The information processing device 1 then outputs, for example, a determination result regarding the reliability of the specific post DT.

[0031] That is, a post DT uploaded to the Internet IN may be associated with, for example, multiple pieces of property information 131 that represent different opinions. In this case, even if the viewer P2 refers to each piece of property information 131 about the post DT, there is a possibility that the viewer P2 will not be able to determine the reliability of the post DT.

[0032] Therefore, when the information processing device 1 in this embodiment receives, for example, information requesting a determination as to the reliability of the posted DT, it determines the reliability of the posted DT by using, in addition to the plurality of property information 131 associated with the posted DT, affirmation information indicating the degree to which each piece of property information 131 affirms the content of the posted DT, and reliability information indicating the degree of reliability of the creator P3 of each piece of property information 131. Then, the information processing device 1 outputs, for example, information indicating the determination result as to the reliability of the posted DT (hereinafter also simply referred to as output information).

[0033] Specifically, the information processing device 1, for example, uses the positivity information corresponding to each property information 131 and the reliability information corresponding to the generator P3 of each property information 131 to identify, from among the multiple property information 131 associated with the post DT, property information 131 that is suitable for determining the reliability of the post DT (property information 131 that can be determined to have high reliability), and determines the reliability of the post DT by using the identified property information 131.

[0034] As a result, even if, for example, multiple property information 131 indicating different views are associated with the post DT, viewer P2 can determine the reliability of the post DT by also viewing the output information output from the information processing device 1 (output information indicating the judgment result regarding the reliability of the post DT).

[0035] The following description will be given of a case where the object of the reliability determination is a posted DT, but the present invention is not limited to this. Specifically, the information processing device 1 in this embodiment may determine the reliability of various information other than the posted DT uploaded to the Internet, for example.

[0036] [Hardware Configuration of Information Processing Apparatus] Next, a description will be given of the hardware configuration of the information processing apparatus 1. FIG.

[0037] 2 , the information processing device 1 includes, for example, a CPU (Central Processing Unit) 101, which is a processor, a memory 102, a communication device (I / O interface) 103, and a storage 104. The respective components are connected to each other via a bus 105.

[0038] The storage 104 has, for example, a program storage area (not shown) that stores a program 110 for performing information management processing. The storage 104 also has, for example, an information storage area 130 that stores information used when performing information management processing. The storage 104 may be, for example, an HDD or an SSD.

[0039] The CPU 101 executes, for example, a program 110 loaded from the storage 104 into the memory 102 to perform information management processing.

[0040] The communication device 103 also communicates with the operation terminal 2 and the storage device 3 via, for example, the Internet IN. Note that the communication device 103 may also communicate with, for example, the storage device 4 via the Internet IN.

[0041] [Functions of Information Processing Device in First Embodiment] Next, functions of the information processing device 1 in the first embodiment will be described. Fig. 3 is a diagram illustrating the functions of the information processing device 1 in the first embodiment. Fig. 4 is a diagram illustrating information stored in the storage device 3 and the storage device 4 in the first embodiment. Specifically, Fig. 4(A) is a diagram illustrating information stored in the storage device 3, and Fig. 4(B) is a diagram illustrating information stored in the storage device 4.

[0042] As shown in FIG. 3, the information processing device 1 realizes various functions including an information receiving unit 111, a storage destination identification unit 112, an information management unit 113, a judgment request receiving unit 114, a first information generating unit 115, a second information generating unit 116, an information judgment unit 117, and an information output unit 118 by organically cooperating with hardware such as a CPU 101 and a memory 102 and a program 110.

[0043] 4(A), the storage device 3 stores, for example, property information 131, post identification information 133 (hereinafter also referred to as identification information 133), graph information 134, list information 135 (hereinafter also referred to as first list information 135), list information 136 (hereinafter also referred to as second list information 136), positive degree information ST, and reliability information CR. Furthermore, the storage device 4 stores, for example, correspondence information 132, as shown in FIG. 4(B). The graph information 134, list information 135, and list information 136 will be described later.

[0044] Note that, although the following description will be made on the case where the property information 131, the post identification information 133, the graph information 134, the list information 135, the list information 136, the positivity information ST, and the reliability information CR are stored in the storage device 3, the present invention is not limited to this. Specifically, the list information 135, the list information 136, the positivity information ST, and the reliability information CR may be stored in a storage device other than the storage device 3 (for example, the information storage area 130 in the information processing device 1), for example.

[0045] First, among the information management processes, the function of the process for storing (adding) the property information 131 to the storage device 3 (hereinafter also referred to as the adding process) will be described.

[0046] The information receiving unit 111 receives, for example, specific property information 131 about a specific post DT uploaded to the Internet IN and a specific digital signature generated for the specific property information 131 from the operation terminal 2. Specifically, the information receiving unit 111 receives, for example, information associating the specific property information 131 with the specific digital signature transmitted by a creator P3 such as a poster P1 via the operation terminal 2.

[0047] For example, when the information receiving unit 111 receives specific property information 131 and a specific digital signature, the storage destination identification unit 112 refers to the storage device 4 that stores the correspondence information 132 and identifies a specific storage device 3 from multiple storage devices 3 that corresponds to a specific post DT.

[0048] The information management unit 113 stores, for example, information associating specific property information 131 received from the information receiving unit 111, a specific digital signature received from the information receiving unit 111, and post identification information 133 for a specific post DT in the specific storage device 3 specified by the storage destination specification unit 112. The post identification information 133 is, for example, information that identifies each post DT, and is information that is stored in advance in the storage device 3 by a content server to which each post DT is uploaded, or information that is stored in the storage device 3 by the generator P3 of the property information 131 for each post DT.

[0049] Next, the function of the information management process in the process of determining the reliability of a specific post DT (hereinafter also referred to as the determination process) will be described.

[0050] The determination request receiving unit 114 receives, for example, determination request information regarding the reliability of a specific post DT. The determination request information is, for example, information including the post identification information 133 corresponding to the specific post DT. Specifically, the determination request receiving unit 114 receives, for example, the determination request information transmitted by a viewer P2 of the specific post DT via the operation terminal 2.

[0051] The storage destination identification unit 112, for example, refers to a storage device 4 that stores correspondence information 132, and identifies the storage device 3 corresponding to the post identification information 133 (post identification information 133 of a specific post DT) included in the judgment request information received by the judgment request receiving unit 114 as a specific storage device 3 in which property information 131 (specific property information 131) indicating the reliability of the specific post DT is stored.

[0052] The information management unit 113, for example, refers to a specific storage device 3 and acquires specific property information 131 (one or more pieces of property information 131).

[0053] The first information generating unit 115 generates, for example, affirmation degree information ST indicating the degree to which the content of a specific post DT is affirmed for each of the specific property information 131 acquired by the information managing unit 113 .

[0054] The second information generating unit 116 generates, for example, reliability information CR indicating the degree of reliability of the generating entity P3 for each of the specific property information 131 acquired by the information managing unit 113.

[0055] The information determination unit 117 determines the likelihood of a specific post DT based on, for example, the positive information ST (positive information ST for each of the specific property information 131) generated by the first information generation unit 115 and the reliability information CR (reliability information CR for each of the specific property information 131) generated by the second information generation unit 116.

[0056] The information output unit 118 transmits, for example, output information indicating the determination result by the information determination unit 117 to the operation terminal 2 (the operation terminal 2 that transmitted the determination request information to the information processing device 1). In this case, the operation terminal 2 displays, for example, the output information received from the information determination unit 117 on an output device (not shown) of the operation terminal 2 in a manner that associates the output information with a specific post DT.

[0057] Note that, although the following description will be given assuming that the additional processing and the determination processing are performed in the information processing device 1, the present invention is not limited to this. Specifically, the additional processing and the determination processing may be performed in, for example, a plurality of different information processing devices 1.

[0058] [Outline of Information Management Processing in First Embodiment] Next, an outline of the first embodiment will be described. Fig. 5 is a flowchart illustrating an outline of the information management processing in the first embodiment. Specifically, Fig. 5 is a flowchart illustrating an outline of the determination processing in the first embodiment.

[0059] 5, the information processing device 1 waits until it receives, for example, determination request information requesting a determination on the reliability of a specific post DT uploaded to the Internet IN (NO in S1). Specifically, the information processing device 1 waits until it receives, for example, determination request information transmitted from the operation terminal 2.

[0060] Then, when judgment request information requesting a judgment on the reliability of a specific post DT is received (YES in S1), the information processing device 1, for example, refers to a specific storage device 3 corresponding to the specific post DT and obtains specific property information 131 indicating the reliability of the specific post DT from the specific storage device 3 (S2).

[0061] Next, the information processing device 1 generates, for example, affirmation degree information ST indicating the degree to which the content of the specific post DT is affirmed for each of the specific property information 131 acquired in the process of S2 (S3).

[0062] Furthermore, the information processing device 1 generates, for example, reliability information CR indicating the degree of reliability of the creator P3 for each of the specific property information 131 acquired in the process of S2 (S4).

[0063] Thereafter, the information processing device 1 determines the likelihood of the specific post DT based on, for example, the positive degree information ST and the reliability information CR acquired in the processes of S3 and S4 (S5).

[0064] Then, the information processing device 1 transmits (outputs) output information indicating the judgment result in the processing of S5 to the operation terminal 2 (the operation terminal 2 that transmitted the judgment request information received in the processing of S1) (S6).

[0065] This allows viewer P2 to determine the reliability of a particular post DT by viewing the output information output from the information processing device 1 together with the property information 131 indicating different views, for example, associated with the particular post DT.

[0066] [Details of Information Management Processing in First Embodiment] Next, details of the information management processing in the first embodiment will be described. Below, the addition processing and the determination processing in the first embodiment will be described.

[0067] [Addition Processing in the First Embodiment] First, the addition processing in the first embodiment will be described. Fig. 6 is a flowchart illustrating the addition processing in the first embodiment. Figs. 7 to 16 are diagrams illustrating the addition processing in the first embodiment.

[0068] 7 and other figures, the following description will be given assuming that the layer where the operation terminal 2 executes each process is the application layer L1. The following description will also assume that the layer where the information processing device 1 executes each process, the layer where the storage device 3 manages each piece of information such as the property information 131, and the layer where the storage device 4 manages each piece of information such as the correspondence information 132 are the endorsement layer L2. The following description will also assume that the layer where uploading and downloading of posts DT on the Internet IN (for example, processing by a content server) is performed is the Internet layer L3.

[0069] As shown in FIG. 6, the information receiving unit 111 receives, for example, the property information 131 transmitted from the operation terminal 2 (S11).

[0070] Furthermore, the information receiving unit 111 receives, for example, a digital signature generated from the property information 131 in the operation terminal 2 from the operation terminal 2 (S12).

[0071] Then, the storage destination identification unit 112, for example, refers to the storage device 4 that stores the correspondence information 132, and identifies from the multiple storage devices 3 the storage device 3 that is associated with the post DT corresponding to the property information 131 received in the processing of S11 (S13).

[0072] Specifically, the storage destination specifying unit 112 specifies the storage device 3 corresponding to the post identification information 133 sent together with the property information 131 in the process of S11. A specific example of the correspondence information 132 will be described below.

[0073] [Specific Example of Correspondence Information] FIG. 8 is a diagram illustrating a specific example of the correspondence information 132. In FIG.

[0074] The correspondence information 132 shown in Figure 8 has, for example, the items "identification information" in which the identification information of each post DT (post identification information 133) is set, and "URL" in which the URL used when accessing each post DT is set.

[0075] 8, for example, in the information on the first line, "ID11" is set as the "identification information" and "https: / / example1.com / id11" is set as the "URL." That is, the information on the first line indicates that the storage destination of the property information 131 for the posted DT whose "identification information" is "ID11" is the storage device 3 managed by the service corresponding to "example1.com."

[0076] 8, for example, in the information on the second line, "ID12" is set as the "identification information" and "https: / / example2.com / id12" is set as the "URL." That is, the information on the second line indicates that the storage destination of the property information 131 for the posted DT whose "identification information" is "ID12" is the storage device 3 managed by the service corresponding to "example2.com." Description of the other information included in FIG. 8 will be omitted.

[0077] Returning to Figure 6, the information management unit 113 stores, for example, information associating the post identification information 133 of the post DT corresponding to the property information 131 received in the processing of S11, the digital signature received in the processing of S12, and the property information 131 received in the processing of S11 in the storage device 3 identified in the processing of S13 (S14).

[0078] Specifically, for example, when a post DT is uploaded by poster P1 on the Internet IN, the content server stores post identification information 133 for the uploaded post DT in the storage device 3, as shown in Fig. 7. More specifically, in this case, the content server stores post identification information 133 in the storage device 3 in which property information 131 for the uploaded post DT is stored.

[0079] Then, for example, when generating property information 131 for the post DT, the generator P3 uses the operation terminal 2 to refer to information included in the post DT and acquires post identification information 133 for the post DT via the operation terminal 2. Next, after generating the property information 131 for the post DT, the generator P3 generates a digital signature that certifies the authenticity and non-tampering of the generated property information 131. Furthermore, the generator P3 transmits the property information 131, to which the digital signature for the post DT and the post identification information 133 have been added, from the operation terminal 2 to the information processing device 1. Note that the post identification information 133 for the post DT may be stored in the storage device 3 by the generator P3 that generates the property information 131 for the post DT.

[0080] Thereafter, the information receiving unit 111 receives, for example, property information 131 transmitted from the operation terminal 2 (property information 131 to which a digital signature for the post DT and post identification information 133 have been added) (S11 and S12). Then, the storage destination specification unit 112 specifies, for example, the storage device 4 that stores the correspondence information 132, and identifies the storage device 3 that stores the property information 131 transmitted from the operation terminal 2 (S13). Thereafter, the information management unit 113 stores the property information 131 received by the information receiving unit 111 in, for example, the storage device 3 specified by the storage destination specification unit 112 (S14).

[0081] Returning to Figure 6, the information management unit 113 determines, for example, in the storage device 3 identified in the processing of S13, whether other property information 131 corresponding to the property information 131 received in the processing of S11 is stored in the storage device 3 (S15).

[0082] Specifically, the information management unit 113 determines, for example, whether other property information 131 about the creator P3 of the property information 131 received in the processing of S11 is stored in the storage device 3 identified in the processing of S13.

[0083] As a result, if it is determined that other property information 131 corresponding to the property information 131 received in the processing of S11 is stored (YES in S15), the information management unit 113 stores, for example, in the storage device 3 identified in the processing of S13, the property information 131 received in the processing of S11 in association with the other property information 131 determined to be stored in the storage device 3 in the processing of S15 (S16).

[0084] Specifically, as shown in FIG. 7, the information management unit 113 generates graph information 134 consisting of a graph structure of information including the property information 131, for example, by associating the property information 131 received in the processing of S11 with other property information 131 related to the property information 131 received in the processing of S11.

[0085] On the other hand, if it is determined that other property information 131 corresponding to the property information 131 received in the process of S11 is not stored (NO in S15), the information management unit 113 does not perform the process of S16, for example. Specific examples of the property information 131 and the post identification information 133 will be described below.

[0086] [Specific Example of Property Information] First, a specific example of the property information 131 will be described. Figures 9, 12, 13, 14, 15, and 16 are diagrams illustrating specific examples of the property information 131. Specifically, Figure 9 is a diagram illustrating a specific example of the property information 131 (hereinafter also referred to as property information 131a) corresponding to a post DT (hereinafter also referred to as post DTa) that includes the sentence, "The XX River near my house has flooded!"

[0087] The property information 131 shown in FIG. 9 and other figures includes, for example, items such as "Property (1)" and "Property (2)," in which multiple properties included in each piece of property information 131 are set. The property information 131 shown in FIG. 9 and other figures also includes, for example, items such as "Generator," in which the name of the generator P3 of each piece of property information 131 is set, "Identification Information," in which identification information of the generator P3 of each piece of property information 131 is set, and "Digital Signature," in which a digital signature for each piece of property information 131 (encrypted data generated from each piece of property information 131) is set. In the following description, it is assumed that items for which no information is set are marked with "-." While the following description will be given assuming that two properties are set in each piece of property information 131, three or more properties may be set in each piece of property information 131.

[0088] Specifically, in the property information 131a shown in Figure 9, for example, "Flood alert level of XX River: Low" is set as "Property (1)", "-" is set as "Property (2)", "Mr. W" is set as "Creator", and "ID21" is set as "Identification information".

[0089] [Specific Example of Post Identification Information] Next, a description will be given of a specific example of the post identification information 133. Fig. 10 is a diagram showing a specific example of the post identification information 133. Specifically, Fig. 10 is a diagram showing a specific example of the post identification information 133 (hereinafter also referred to as post identification information 133a) corresponding to the post DTa.

[0090] 10 includes, as items, "identification information," in which the identification information of the post DTa is set, "related identification information," in which the identification information (hereinafter also referred to as related identification information) of image data (hereinafter also referred to as image A) included in the post DTa is set, and "content," in which the content of the post DTa is set. Note that the post identification information 133 may not include, for example, "content."

[0091] Specifically, in the post identification information 133a shown in Figure 10, for example, "ID11" is set as the "identification information," "ID12" is set as the "related identification information," and the sentence "The XX River near my house has flooded!" is set as the "content."

[0092] Then, in the processing of S14, the information management unit 113 stores the property information 131a and the post identification information 133a in an associated state in the storage device 3, thereby managing the property information 131a and the post DTa in a corresponding state.

[0093] This allows the viewer P2, for example, when viewing the post DTa, to also refer to the property information 131a about the post DTa, and to determine the reliability of the post DTa.

[0094] Specifically, the property information 131a shown in Figure 9 indicates, for example, that the flood alert level for the XX River is low, and its content differs from the content of the post DTa, which includes the sentence, "The XX River near my house has flooded!" Therefore, by referring to the property information 131a together with the post DTa, viewer P2 can determine that the content of the post DTa does not match the content of the property information 131a. Therefore, if viewer P2 determines, for example, that Mr. W, the creator P3 of the property information 131a, is a trustworthy person, viewer P2 can determine that the content of the property information 131a is likely to be correct and can retroactively determine that the post DTa is likely to be false information.

[0095] 9 includes, for example, the identification information of creator P3. Therefore, if viewer P2 cannot determine whether, for example, Mr. W, the creator P3 of property information 131a, is a trustworthy person, viewer P2 can further refer to property information 131 about Mr. W based on the identification information of creator P3 included in property information 131a. Therefore, even in this case, viewer P2 can determine whether post DTa is false information by referring to property information 131 about Mr. W. Specific examples of graph information 134 will be described below.

[0096] 11 is a diagram illustrating a specific example of graph information 134. The graph information 134 is information having a graph structure including, for example, a plurality of pieces of property information 131 and a plurality of entities indicating the creators P3 of the respective pieces of property information 131. In the following description, it is assumed that the property information 131a in FIG. 11 corresponds to the property information 131a described in FIG. 9. In the following description, it is assumed that the post identification information 133a in FIG. 11 corresponds to the post identification information 133a described in FIG. 10.

[0097] In the graph information 134 shown in Fig. 11 , for example, property information 131a and property information 131b are associated as property information 131 for post DTa (post identification information 133a). The property information 131a shown in Fig. 11 is associated with, for example, an entity ENa indicating that the creator P3 of the property information 131a is Mr. W. The property information 131b shown in Fig. 11 is associated with, for example, an entity ENb indicating that the creator P3 of the property information 131b is Mr. Z.

[0098] Specifically, as shown in FIG. 12, for example, the property information 131b has "Contributor: Mr. Z" set as "Property (1)," "-" set as "Property (2)," "Mr. Z" set as "Creator," and "ID22" set as "Identification Information."

[0099] That is, the property information 131b shown in FIG. 12 is property information 131 that was generated by Mr. Z, who is the contributor P1 of the post DTa, in order to increase the reliability of the content of the post DTa, for example.

[0100] 11, for example, property information 131e is associated with the entity ENa as the property information 131. The property information 131e is associated with the entity ENc, which indicates that the creator P3 of the property information 131e is City E.

[0101] Specifically, as shown in FIG. 13, for example, the property information 131e has "Affiliation: City Hall E" set as "Property (1)," "-" set as "Property (2)," "City E" set as "Creator," and "ID23" set as "Identification Information."

[0102] That is, the property information 131e shown in FIG. 13 indicates that, for example, Mr. W is an employee of E City Hall, and is the property information 131 generated by E City.

[0103] Then, for example, when a viewer P2 of post DTa is unable to determine whether Mr. W is trustworthy by referring to property information 131a, the viewer P2 further refers to property information 131e based on the identification information of creator P3 included in property information 131a. As a result, for example, if viewer P2 determines that Mr. W is trustworthy because City E has certified that he is an employee of City Hall, viewer P2 of post DTa can retroactively determine that the content of post DTa is likely to be inaccurate.

[0104] 11, for example, property information 131d is associated with entity ENb as property information 131. Entity ENc, which indicates that the creator P3 of the property information 131d is City E, is associated with the property information 131d.

[0105] Specifically, as shown in FIG. 14, property information 131d has, for example, "Address: D" set as "Property (1)," "-" set as "Property (2)," "City E" set as "Generator," and "ID23" set as "Identification Information."

[0106] That is, the property information 131d shown in FIG. 14 indicates that, for example, Mr. Z is a resident of D, and is the property information 131 generated by City E.

[0107] Then, for example, when a viewer P2 of the post DTa is unable to determine whether Mr. Z is a trustworthy person by referring to property information 131b, the viewer P2 further refers to property information 131d based on the identification information of creator P3 included in property information 131b. As a result, if the viewer P2 determines that Mr. Z is a trustworthy person, the viewer P2 of the post DTa also retroactively determines that the content of the post DTa is likely to be correct.

[0108] 11, for example, property information 131c is associated with image data (posting identification information 133b) included in post DTa as property information 131. The property information 131c shown in FIG. 11 is associated with entity ENDd, which indicates that the creator P3 of the property information 131c is camera B.

[0109] Specifically, as shown in FIG. 15, the property information 131c has, for example, "Location of photo taken: City X" set as "Property (1)," "Photo date and time: Y" set as "Property (2)," "Camera B" set as "Generator," and "ID24" set as "Identification information."

[0110] That is, the property information 131c shown in Figure 15 indicates, for example, that the image data included in the post DTa is image data taken in City X on date and time Y, and is property information 131 generated by Camera B.

[0111] 11, for example, property information 131f is associated with entity ENDd as property information 131. Entity ENe, which indicates that the creator P3 of the property information 131f is camera manufacturer C, is associated with the property information 131f.

[0112] Specifically, as shown in FIG. 16, the property information 131f has, for example, "Property (1)" set to "Manufacturer: Company C," "Property (2)" set to "-," "Camera manufacturer C" set to "Generator," and "ID25" set to "Identification information."

[0113] Then, for example, when a viewer P2 of the post DTa is viewing the post DTa, if the viewer P2 cannot determine whether camera B is a trustworthy device even by referring to property information 131c (for example, if the viewer P2 cannot determine whether camera B is a device capable of tampering with the shooting location of the image data included in the post DTa), the viewer P2 further refers to property information 131f identified from the identification information of creator P3 included in property information 131c. As a result, if the viewer P2 determines that camera B is a trustworthy device because, for example, the functionality of camera B is guaranteed by camera manufacturer C, the viewer P2 of the post DTa also retroactively determines that the content of the post DTa is likely to be correct.

[0114] In this way, the information processing device 1 in this embodiment stores the information in the storage device 3 in the form of a graph structure that can be traced and referenced by, for example, a viewer P2 of the posted DT when checking the reliability of the posted DT.

[0115] As a result, the information processing device 1 in this embodiment, for example, when viewing each post DT, can confirm the reliability of each post DT by sequentially referring to each property information 131 associated with each post DT.

[0116] [Determination Process in First Embodiment] Next, the determination process in the first embodiment will be described. Figures 17 to 21 are flow charts illustrating the determination process in the first embodiment. Figures 22 to 32 are diagrams illustrating the determination process in the first embodiment.

[0117] As shown in FIG. 17, the determination request receiving unit 114 receives, for example, determination request information regarding the post DT transmitted from the operation terminal 2 (S21).

[0118] 22 , for example, when the viewer P2 cannot determine whether the content of the posted DT is likely to be accurate, the viewer P2 inputs determination request information about the posted DT from the operation terminal 2 to the information processing device 1. Then, the determination request receiving unit 114 receives, for example, the determination request information input by the viewer P2 to the operation terminal 2.

[0119] Next, the storage destination specifying unit 112, for example, refers to the storage device 4 that stores the correspondence information 132, and specifies the storage device 3 that corresponds to the determination request information received in the process of S21 (S22).

[0120] Specifically, the storage destination specifying unit 112 specifies the storage device 3 corresponding to the post identification information 133 included in the determination request information received in the process of S21, for example.

[0121] Thereafter, the information management unit 113, for example, accesses the storage device 3 identified in the processing of S22 and determines whether property information 131 corresponding to the judgment request information received in the processing of S21 is stored, in other words, whether property information 131 corresponding to the judgment request information received in the processing of S21 exists (S23).

[0122] Specifically, as shown in FIG. 22, the information management unit 113 searches for property information 131 corresponding to the post identification information 133 included in the judgment request information from each piece of property information 131 constituting the graph information 134 stored in the storage device 3 identified in the processing of S22, for example.

[0123] As a result, for example, if it is determined that property information 131 corresponding to the determination request information received in the processing of S21 exists (YES in S24), the first information generation unit 115 generates, for each of the property information 131 determined to exist, affirmation degree information ST indicating the degree to which each piece of property information 131 affirms the content of the post DT corresponding to the determination request information received in the processing of S21 (S25). Details of the processing of S25 will be described below.

[0124] [Details of the Process at S25] Fig. 18 is a flowchart illustrating details of the process at S25. Hereinafter, as shown in Fig. 23, the description will be given assuming that property information 131 for a post DT (hereinafter also referred to as post DTb) including the sentence "A flood is occurring in City X" includes property information 131g in which the creator P3 is "Mr. F" and includes a property consisting of the sentence "I witnessed the flood in this photo," and property information 131h in which the creator P3 is "Mr. G" and includes a property consisting of the sentence "The image is a fake image generated by AI."

[0125] As shown in FIG. 18, the first information generator 115 acquires, for example, one piece of property information 131 determined to exist in the process of S24 (S31).

[0126] Then, the first information generation unit 115, for example, refers to the first list information 135 and determines whether or not at least any of the words (hereinafter also referred to as specific words) included in the first list information 135 is included in the property information 131 acquired in the process of S31 (S32). The first list information 135 is, for example, a list of one or more words that can be determined to have a high probability of being used in the property information 131 that denies the content of the post DT.

[0127] The first list information 135 may be, for example, a list of words (specific words) specified by the viewer P2 who transmitted the determination request information received in the process of S21. That is, the first list information 135 may be, for example, a different list for each viewer P2. Specific examples of the first list information 135 will be described below.

[0128] [Specific Example of First List Information] FIG. 24 is a diagram illustrating a specific example of the first list information 135. In FIG.

[0129] The first list information 135 shown in Fig. 24 includes, for example, the words "fake" and "lie" as specific words. That is, the first list information 135 shown in Fig. 24 includes, for example, words "fake" and "lie" that can be determined to have a high probability of being used in property information 131 that denies the content of the post DT.

[0130] Returning to Figure 18, for example, if it is determined that a specific word included in the first list information 135 is not included in the property information 131 acquired in the processing of S31 (NO in S33), the first information generation unit 115 generates positive degree information ST (hereinafter also referred to as first positive degree information STa) indicating that the degree of positive degree of the content of the post DT in response to the determination request information received in the processing of S21 is a first degree (S34).

[0131] On the other hand, if it is determined that a specific word included in the first list information 135 is included in the property information 131 acquired in the process of S31 (YES in S33), the first information generation unit 115 generates affirmation degree information ST (hereinafter also referred to as second affirmation degree information STb) indicating that the degree of affirmation of the content of the post DT in response to the determination request information received in the process of S21 is a second degree (S35). The second degree is, for example, lower than the first degree. In other words, the second affirmation degree information STb is information indicating that the content of the post DT in response to the determination request information received in the process of S21 is more negative than the first affirmation degree information STa.

[0132] Specifically, in the example shown in Fig. 23, property information 131g does not include, for example, a specific word included in first list information 135 shown in Fig. 24. Therefore, first information generation unit 115 generates, for example, "TRUE" indicating first affirmation information STa as affirmation information ST corresponding to property information 131g, as shown in Fig. 25. That is, in this case, first information generation unit 115 generates, for example, first affirmation information STa indicating that property information 131g affirms the content of post DTb as affirmation information ST corresponding to property information 131g.

[0133] 23, property information 131h includes, for example, "fake," a specific word included in first list information 135 shown in FIG. 24. Therefore, as shown in FIG. 25, first information generation unit 115 generates, for example, "FALSE," which indicates second affirmation information STb, as affirmation information ST corresponding to property information 131h. That is, in this case, first information generation unit 115 generates, for example, second affirmation information STb, which indicates that property information 131g denies the content of post DTb, as affirmation information ST corresponding to property information 131h.

[0134] In addition, the first list information 135 may include, for example, specific words (hereinafter referred to as first words) that can be determined to have a high probability of being used in property information 131 that denies the content of the post DT, and specific words (hereinafter also referred to as second words) that can be determined to have a higher probability than the first words of being used in property information 131 that denies the content of the post DT.

[0135] The first information generation unit 115 may, for example, generate positive degree information ST (second positive degree information STb) corresponding to the second degree as positive degree information ST corresponding to property information 131 containing the first word, and may also generate other positive degree information ST corresponding to a different degree lower than the second degree as positive degree information ST corresponding to property information 131 containing the second word.

[0136] Furthermore, the first information generation unit 115 may, for example, generate positive degree information ST (second positive degree information STb) corresponding to the second degree as positive degree information ST corresponding to the property information 131 containing the second word, and may also generate other positive degree information ST corresponding to another degree higher than the second degree and lower than the first degree as positive degree information ST corresponding to the property information 131 containing the first word.

[0137] After the process of S34 or S35, the first information generator 115 determines whether or not all of the property information 131 determined to exist in the process of S24 has been acquired (S36).

[0138] As a result, if it is determined that not all of the property information 131 determined to exist in the processing of S24 has been acquired (NO in S36), the first information generation unit 115 performs the processing from S31 onwards, for example, again.

[0139] On the other hand, if it is determined that all of the property information 131 determined to exist in the process of S24 has been acquired (YES in S36), the first information generator 115 ends the process of S25, for example.

[0140] In the process of S25, the first information generator 115 may acquire the affirmation information ST by using, for example, a trained learning model (not shown). The learning model is, for example, a large language model (LLM).

[0141] Specifically, for example, the first information generating unit 115 may input, to the learning model, each piece of property information 131 determined to exist in the processing of S24 and the post DT in response to the determination request information received in the processing of S21. Then, for example, the first information generating unit 115 may acquire, for each piece of property information 131 determined to exist in the processing of S24, the positivity information ST indicated by the value output from the learning model as the positivity information ST corresponding to each piece of property information 131.

[0142] 18 , for example, the second information generation unit 116 generates reliability information CR indicating the degree of reliability of each piece of property information 131 with respect to the generator P3 for each piece of property information 131 determined to exist in the processing of S24 (S26). The processing of S26 will be described in detail below.

[0143] [Details of the Process in S26] FIG. 19 is a flowchart illustrating details of the process in S26.

[0144] As shown in FIG. 19, the second information generation unit 116 acquires, for example, one piece of property information 131 determined to exist in the process of S24 (S41).

[0145] Then, the first information generation unit 115, for example, refers to the second list information 136 and determines whether information indicating the creator P3 of the property information 131 acquired in the process of S41 is included in the second list information 136 (S42). The second list information 136 is, for example, a list of creators P3 that can be determined to be highly reliable as creators P3 of the property information 131.

[0146] The second list information 136 may be, for example, a list for the creator P3 designated by the viewer P2 who transmitted the determination request information received in the process of S21. That is, the second list information 136 may be, for example, a different list for each viewer P2. Specific examples of the second list information 136 will be described below.

[0147] [Specific Example of Second List Information] FIG. 26 is a diagram illustrating a specific example of the second list information 136. In FIG.

[0148] 26 includes information indicating creator P3 such as "camera manufacturer C," "City E," "location information service H," and "Research Institute I." That is, the second list information 136 shown in Fig. 26 includes information indicating, for example, "camera manufacturer C," a creator P3 that can be determined to be highly reliable as the creator P3 of the property information 131.

[0149] Returning to Figure 19, for example, if it is determined that information indicating the generator P3 of the property information 131 acquired in the processing of S41 is included in the second list information 136 (YES in S43), the second information generation unit 116 generates reliability information CR (hereinafter also referred to as first reliability information CRa) indicating that the degree of reliability of the generator P3 of the property information 131 acquired in S41 is the third degree (S44).

[0150] On the other hand, if it is determined that information indicating the generator P3 of the property information 131 acquired in the processing of S41 is not included in the second list information 136 (NO in S43), the second information generation unit 116 performs recursive processing (hereinafter simply referred to as recursive processing) for generating the reliability information CR.

[0151] Specifically, in the example shown in Fig. 23, information indicating "Mr. F", who is the generator P3 of the property information 131g, is not included in, for example, the list information 136 shown in Fig. 26. Therefore, for example, when the property information 131 acquired in the processing of S41 is the property information 131g, the second information generator 116 performs recursive processing on the property information 131g.

[0152] 23, information indicating "Mr. G," who is the generator P3 of the property information 131h, is not included in the list information 136 shown in FIG. 26. Therefore, for example, when the property information 131 acquired in the processing of S41 is the property information 131h, the second information generator 116 performs recursive processing on the property information 131h. The recursive processing will be described below.

[0153] [Recursive Processing] FIG. 21 is a flowchart illustrating recursive processing.

[0154] As shown in FIG. 21, the second information generator 116 acquires, for example, the property information 131 about the generator P3 of the property information 131 acquired in the process of S41 or the previous process of S61 (S61).

[0155] Specifically, for example, when the property information 131 acquired in the process of S41 or the previous process of S61 is property information 131g, the second information generator 116 acquires property information 131i, which is property information 131 for the generator P3 of the property information 131g, as shown in Fig. 27. As shown in Fig. 27, the property information 131i is, for example, property information 131 in which the generator P3 is "location information service H" and which includes a property consisting of the sentence "Mr. F is in Y city."

[0156] Furthermore, for example, when the property information 131 acquired in the process of S41 or the previous process of S61 is property information 131h, the second information generator 116 acquires property information 131j, which is property information 131 for the generator P3 of the property information 131h, as shown in Fig. 27. As shown in Fig. 27, for example, the property information 131j is property information 131 in which the generator P3 is "I Laboratory" and which includes a property consisting of the sentence "Mr. G has experience in image analysis at I Laboratory."

[0157] Then, the second information generating unit 116 determines whether or not information indicating the generator P3 of the property information 131 acquired in the process of S61 is included in the second list information 136 (S62).

[0158] As a result, for example, if it is determined that information indicating the generator P3 of the property information 131 acquired in the processing of S61 is included in the second list information 136 (YES in S63), the second information generation unit 116 generates first reliability information CRa indicating that the degree of reliability of the generator P3 of the property information 131 acquired in S41 is the third degree (S64).

[0159] Specifically, the second list information 136 shown in Fig. 26 includes, for example, information indicating the location information service H, which is the generator P3 of the property information 131i. Therefore, for example, when the property information 131 acquired in the processing of S61 is the property information 131i, the second information generation unit 116 generates "high," which indicates the first reliability information CRa, as the reliability information CR corresponding to the property information 131i, as shown in Fig. 28. That is, in this case, the second information generation unit 116 generates, for example, the first reliability information CRa, which indicates that the reliability of the generator P3 of the property information 131i is high, as the reliability information CR corresponding to the property information 131i.

[0160] 26 includes, for example, information indicating the I Laboratory, which is the creator P3 of the property information 131j. Therefore, for example, when the property information 131 acquired in the processing of S61 is the property information 131j, the second information generation unit 116 generates, as the reliability information CR corresponding to the property information 131j, "high," which indicates the first reliability information CRa, as shown in FIG. 28. That is, in this case, the second information generation unit 116 generates, for example, as the reliability information CR corresponding to the property information 131j, first reliability information CRa indicating that the creator P3 of the property information 131j has high reliability.

[0161] On the other hand, for example, when it is determined that the information indicating the creator P3 of the property information 131 acquired in the process of S61 is not included in the second list information 136 (NO in S63), the second information generator 116 determines whether the number of times the process of S61 has been executed has reached a predetermined number (S65). The predetermined number may be, for example, 1 or more.

[0162] As a result, for example, if it is determined that the number of times the process of S61 has been executed has not reached the predetermined number (NO in S65), the second information generator 116 executes the processes from S61 onwards again.

[0163] That is, in the recursive processing, the second information generation unit 116 sequentially traces the property information 131 related to the post DT corresponding to the determination request information received in the processing of S21 until, for example, property information 131 included in the second list information 136 by the creator P3 is identified, in other words, until property information 131 generated by the creator P3 that can be determined to have high reliability is identified. Then, for example, if, as a result of sequentially tracing the property information 131 related to the post DT corresponding to the determination request information received in the processing of S21, property information 131 included in the second list information 136 by the creator P3 is identified, the second information generation unit 116 determines that the reliability of the creator P3 of the property information 131 acquired in the processing of S41 is high.

[0164] On the other hand, for example, when it is determined that the number of executions of the process of S61 has reached a predetermined number (YES in S65), the second information generation unit 116 generates reliability information CR (hereinafter also referred to as second reliability information CRb) indicating that the degree of reliability of the generator P3 of the property information 131 acquired in the process of S41 is a fourth degree (S66). The fourth degree is, for example, lower than the third degree. In other words, the second reliability information CRb is information indicating that the reliability of the generator P3 of the property information 131 acquired in the process of S41 is lower than the first reliability information CRa.

[0165] That is, in the recursive processing, for example, if the second information generation unit 116 sequentially traces the property information 131 related to the post DT corresponding to the determination request information received in the processing of S21 and the generator P3 is unable to identify the property information 131 included in the second list information 136, it determines that the reliability of the generator P3 of the property information 131 acquired in the processing of S41 is low.

[0166] After the process of S64 or S66, the second information generator 116 ends the recursive process, for example.

[0167] Returning to FIG. 19, after the processing of S44 or S45, the second information generation unit 116 determines whether all of the property information 131 determined to exist in the processing of S24 has been acquired (S46).

[0168] As a result, if it is determined that not all of the property information 131 determined to exist in the process of S24 has been acquired (NO in S46), the second information generation unit 116 performs the processes from S41 onwards, for example, again.

[0169] On the other hand, if it is determined that all of the property information 131 determined to exist in the process of S24 has been acquired (YES in S46), the second information generation unit 116 ends the process of S26, for example.

[0170] 17 , the information determination unit 117 determines the likelihood of the post DT corresponding to the determination request information received in the process of S21, for example, based on each piece of positive information ST generated in the process of S25 and each piece of reliability information CR generated in the process of S26 (S27). Details of the process of S27 will be described below.

[0171] [Details of the Process in S27] FIG. 20 is a flowchart illustrating details of the process in S27.

[0172] As shown in FIG. 20, the information determination unit 117 acquires, for example, one piece of property information 131 determined to exist in the process of S24 (S51).

[0173] Then, the information determination unit 117 determines, for example, whether the reliability information CR of the property information 131 acquired in the process of S51 is the second reliability information CRb (S52).

[0174] As a result, for example, if it is determined that the reliability information CR of the property information 131 acquired in the processing of S51 is the second reliability information CRb (YES in S53), the information determination unit 117 identifies the second reliability information CRb as the reliability information CR of the property information 131 acquired in the processing of S51 (S54).

[0175] That is, in this case, the information determination unit 117 maintains the second reliability information CRb as the reliability information CR of the property information 131 acquired in the process of S51, for example.

[0176] On the other hand, for example, if it is determined that the reliability information CR of the property information 131 acquired in the processing of S51 is not the second reliability information CRb (NO in S53), the information determination unit 117 determines whether the positivity information ST of the property information 131 acquired in the processing of S51 is the first positivity information STa (S55).

[0177] Specifically, in this case, first information generation unit 115 generates, for example, positivity information ST of property information 131 acquired in the process of S51 (S31 to S35). Then, information determination unit 117 determines, for example, whether or not the positivity information ST generated by first information generation unit 115 is first positivity information STa.

[0178] As a result, for example, when it is determined that the positivity information ST of the property information 131 acquired in the process of S51 is not first positivity information STa (NO in S56), the information determining section 117 performs the processes from S54 onwards.

[0179] That is, in this case, the information determination unit 117 changes the reliability information CR of the property information 131 acquired in the process of S51 from the first reliability information CRa to the second reliability information CRb, for example.

[0180] Specifically, as shown in FIG. 29, for example, if the reliability information CR corresponding to the property information 131i is “high” indicating the first reliability information CRa, and the positive information ST corresponding to the property information 131i is “false” indicating the second positive information STb (NO in S53, NO in S56), the second information generation unit 116 determines that there is a high degree of confidence that the content of the property information 131g, which is the property information 131 acquired in S51 (property information 131g about the post DT corresponding to the determination request information received in the processing of S21), is incorrect, and specifies the reliability information CR corresponding to the property information 131g as “low”, which is the second reliability information CRb (S54).

[0181] On the other hand, for example, if it is determined that the positivity information ST of the property information 131 acquired in the processing of S51 is the first positivity information STa (YES in S56), the information determination unit 117 identifies the first reliability information CRa as the reliability information CR of the property information 131 acquired in the processing of S51 (S57).

[0182] That is, in this case, the information determination unit 117 maintains the first reliability information CRa as the reliability information CR of the property information 131 acquired in the process of S51, for example.

[0183] Specifically, as shown in FIG. 29, for example, if the reliability information CR corresponding to property information 131j is "high" indicating the first reliability information CRa, and the positivity information ST corresponding to property information 131j is "TRUE" indicating the first positivity information STa (NO in S53, YES in S56), the second information generation unit 116 determines that the content of property information 131h, which is the property information 131 acquired in S51 (property information 131h about the post DT corresponding to the determination request information received in the processing of S21), is highly likely to be correct, and identifies "high", which is the first reliability information CRa, as the reliability information CR corresponding to property information 131h (S57).

[0184] Then, the information determination unit 117 determines whether or not all of the property information 131 determined to exist in the process of S24 has been acquired (S58).

[0185] As a result, if it is determined that not all of the property information 131 determined to exist in the process of S24 has been acquired (NO in S58), the information determining unit 117 performs the processes from S51 onwards, for example, again.

[0186] On the other hand, if it is determined that all of the property information 131 determined to exist in the process of S24 has been acquired (YES in S58), the information determining unit 117 ends the process of S27, for example.

[0187] Returning to Figure 17, the information output unit 118 transmits output information OP indicating, for example, the judgment result (the judgment result in the processing of S27) regarding the reliability of the posted DT corresponding to the judgment request information received in the processing of S21 to the operating terminal 2 (S28).

[0188] Specifically, the information output unit 118 transmits output information OP to the operation terminal 2 that transmitted the determination request information received in the process of S21, for example.

[0189] Thereafter, the operation terminal 2 outputs (displays) on an output device, for example, the output information OP transmitted by the information output unit 118. That is, in this case, the operation terminal 2 makes the output information OP transmitted by the information output unit 118 available for viewing by the viewer P2, for example.

[0190] Specifically, the information output unit 118 transmits to the operating terminal 2, for example, information indicating the property information 131 that existed in the processing of S24 and for which the first reliability information CRa was identified as the reliability information CR in the processing of S27.

[0191] 30 , for example, if the reliability information CR corresponding to property information 131g is “low,” indicating the second reliability information CRb, and the reliability information CR corresponding to property information 131h is “high,” indicating the first reliability information CRa, the information determination unit 117 identifies the property information 131h, of the property information 131g and the property information 131h that are the property information 131 of the post DTb, whose reliability information CR is the first reliability information CRa. Then, as shown in FIG. 30 , for example, if the positivity information ST corresponding to property information 131h is “FALSE,” indicating the second positivity information STb, and the reliability information CR corresponding to property information 131h is “high,” indicating the first reliability information CRa, the information determination unit 117 determines that the reliability of the content of the post DTb is high, and generates output information OP indicating that the reliability information CR corresponding to the post DTb is the second reliability information CRb. Thereafter, the information output unit 118 transmits, for example, the output information OP generated by the information determination unit 117 to the operation terminal 2. A specific example of the output information OP will be described below.

[0192] 31 and 32 are diagrams illustrating a specific example of the output information OP. Specifically, Fig. 31 and Fig. 32 are diagrams illustrating a specific example when the output information OP is output (displayed) on the output device of the operation terminal 2.

[0193] 31 , the information output unit 118 transmits to the operation terminal 2 output information OP (hereinafter also referred to as output information OP1) including, for example, "Credibility of post: low" indicating that the reliability information CR corresponding to the post DTb is second reliability information CRb, and "Reason explanation: Mr. G claims about the post that 'the image is a fake image generated by AI.'" which includes the content of property information 131h that is property information 131 of the post DTb. Then, as shown in FIG. 31 , the operation terminal 2 outputs (displays) the output information OP1 transmitted by the information output unit 118 to an output device, for example.

[0194] 32 , the information output unit 118 may further transmit to the operation terminal 2 output information OP (hereinafter also referred to as output information OP2) including, for example, "Credibility of post: High" indicating that the reliability information CR corresponding to property information 131j, which is property information 131 of person G, who is the creator P3 of the property information 131h, is second reliability information CRb, and "Reason explanation: Person G claims about the post that 'the image is a fake image generated by AI.'" including the content of the property information 131j. Then, the operation terminal 2 may, for example, output (display) the output information OP2 transmitted by the information output unit 118 on an output device, as shown in FIG.

[0195] Thus, when the information processing device 1 according to the present embodiment receives, for example, determination request information requesting a determination of the reliability of a specific post DT, it refers to the storage device 4 storing the correspondence information 132 and identifies a specific storage device 3 corresponding to the specific post DT from the multiple storage devices 3. Then, for example, the information processing device 1 refers to the specific storage device 3 and acquires, from the specific storage device 3, specific property information 131 indicating the reliability of the specific post DT. Thereafter, for example, the information processing device 1 generates, for each of the acquired specific property information 131, affirmation information ST indicating the degree of affirmation of the content of the specific post DT. Furthermore, for each of the acquired specific property information 131, the information processing device 1 generates, for example, reliability information CR indicating the degree of reliability of the creator P3. Furthermore, for example, the information processing device 1 determines the reliability of the specific post DT based on the affirmation information ST and the reliability information CR for each of the acquired specific property information 131. Then, for example, the information processing device 1 outputs a determination result regarding the reliability of the specific post DT.

[0196] That is, a post DT uploaded to the Internet IN may be associated with, for example, multiple pieces of property information 131 that indicate different opinions. In this case, even if the viewer P2 refers to the property information 131 about the post DT, there is a possibility that the viewer P2 will not be able to determine the reliability of the post DT.

[0197] Therefore, when the information processing device 1 in this embodiment receives, for example, determination request information regarding the reliability of a specific post DT, it determines the reliability of the post DT by using, in addition to the plurality of property information 131 associated with the post DT, the positivity information ST corresponding to each property information 131 and the reliability information CR corresponding to each property information 131. Then, the information processing device 1 outputs, for example, output information OP indicating the determination result regarding the reliability of the post DT.

[0198] This allows viewer P2 to determine the reliability of the posted DT by viewing the output information output from the information processing device 1, even if, for example, multiple property information 131 indicating different views are associated with the posted DT.

[0199] 1: Information processing device 2: Operation terminal 3a: Storage device 3b: Storage device 3c: Storage device 4: Storage device DT: Posting IN: Internet 101: CPU 102: Memory 103: I / O interface 104: Storage 105: Bus 130: Information storage area

Claims

1. When receiving a determination request regarding the authenticity of a specific post uploaded on the Internet, an information management unit that acquires one or more pieces of property information indicating the authenticity from a first storage unit, a first information generation unit that generates first information indicating the degree to which each piece of property information affirms the content of the specific post for each of the acquired one or more pieces of property information, a second information generation unit that generates second information indicating the degree of reliability regarding the generation entity of each piece of property information for each of the acquired one or more pieces of property information, an information determination unit that determines the authenticity based on the first information and the second information for each of the one or more pieces of property information, and an information output unit that outputs the determination result of the authenticity. An information processing apparatus characterized by the above.

2. In claim 1, the first information generation unit determines, for each of the one or more pieces of property information, whether a specific word is included in each piece of property information, and generates, as the first information corresponding to the property information in which the specific word is not included among the one or more pieces of property information, information indicating that the degree to which the content of the specific post is affirmed is a first degree, and generates, as the first information corresponding to the property information in which the specific word is included among the one or more pieces of property information, information indicating that the degree to which the content of the specific post is affirmed is a second degree lower than the first degree. An information processing apparatus characterized by the above.

3. In claim 2, the second information generation unit determines, for each of the one or more pieces of property information, whether information indicating the generation entity of each piece of property information is stored in a second storage unit, and generates, as the second information corresponding to the property information in which the information indicating the generation entity is stored in the second storage unit among the one or more pieces of property information, information indicating that the degree of reliability regarding the generation entity is a third degree, and generates, as the second information corresponding to the property information in which the information indicating the generation entity is not stored in the second storage unit among the one or more pieces of property information, information indicating that the degree of reliability regarding the generation entity is a fourth degree lower than the third degree. An information processing apparatus characterized by the above.

4. In claim 3, the information determination unit identifies specific property information corresponding to the second information in which the degree indicating the reliability of the generation subject among the one or more pieces of property information is the third degree, and determines the likelihood by using the first information corresponding to the identified specific property information. An information processing apparatus characterized by the above.

5. In claim 3, the second information generation unit acquires other property information about the generation subject of the property information in which the information indicating the generation subject among the one or more pieces of property information is not stored in the second storage unit from the first storage unit, and generates the second information about the acquired other property information as the second information about the property information in which the information indicating the generation subject is not stored in the second storage unit. An information processing apparatus characterized by the above.

6. When a determination request regarding the likelihood of a specific post uploaded on the Internet is received, one or more pieces of property information indicating the likelihood are acquired from a first storage unit, and for each of the acquired one or more pieces of property information, first information indicating the degree to which each piece of property information affirms the content of the specific post is generated, and for each of the acquired one or more pieces of property information, second information indicating the degree indicating the reliability of the generation subject of each piece of property information is generated, and the likelihood is determined based on the first information and the second information for each of the one or more pieces of property information, and the determination result of the likelihood is output. An information management program characterized by causing a computer to execute the process.

7. In claim 6, in the process of generating the first information, for each of the one or more pieces of property information, it is determined whether a specific word is included in each piece of property information, and as the first information corresponding to the property information in which the specific word is not included among the one or more pieces of property information, information indicating that the degree of affirming the content of the specific post is the first degree is generated, and as the first information corresponding to the property information in which the specific word is included among the one or more pieces of property information, information indicating that the degree of affirming the content of the specific post is the second degree lower than the first degree is generated. An information management program characterized by this.

8. In claim 7, in the process of generating the second information, for each of the one or more pieces of property information, it is determined whether information indicating the generation entity of each piece of property information is stored in the second storage unit, and as the second information corresponding to the property information in which the information indicating the generation entity is stored in the second storage unit among the one or more pieces of property information, information indicating that the degree of reliability of the generation entity is the third degree is generated, and as the second information corresponding to the property information in which the information indicating the generation entity is not stored in the second storage unit among the one or more pieces of property information, information indicating that the degree of reliability of the generation entity is the fourth degree lower than the third degree is generated. An information management program characterized by this.

9. When a determination request regarding the credibility of a specific post uploaded on the Internet is received, one or more pieces of property information indicating the credibility are acquired from the first storage unit, for each of the acquired one or more pieces of property information, first information indicating the degree to which each piece of property information affirms the content of the specific post is generated, for each of the acquired one or more pieces of property information, second information indicating the degree of reliability regarding the generation entity of each piece of property information is generated, based on the first information and the second information for each of the one or more pieces of property information, the credibility is determined, and the determination result of the credibility is output. A computer-executed information management method characterized by this.

10. In claim 9, in the process of generating the first information, for each of the one or more pieces of property information, it is determined whether a specific word is included in each piece of property information. As the first information corresponding to the property information in which the specific word is not included among the one or more pieces of property information, information indicating that the degree of affirming the content of the specific post is the first degree is generated. As the first information corresponding to the property information in which the specific word is included among the one or more pieces of property information, information indicating that the degree of affirming the content of the specific post is the second degree lower than the first degree is generated. An information management method characterized by this.

11. In claim 10, in the process of generating the second information, for each of the one or more pieces of property information, it is determined whether information indicating the generation entity of each piece of property information is stored in the second storage unit. As the second information corresponding to the property information in which the information indicating the generation entity is stored in the second storage unit among the one or more pieces of property information, information indicating that the degree of indicating the reliability of the generation entity is the third degree is generated. As the second information corresponding to the property information in which the information indicating the generation entity is not stored in the second storage unit among the one or more pieces of property information, information indicating that the degree of indicating the reliability of the generation entity is the fourth degree lower than the third degree is generated. An information management method characterized by this.

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