Information processing apparatus, information processing method, and information processing program

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The information processing device enhances event cause visualization by collecting and generating explanatory content from past comments, facilitating a deeper understanding of event causes and key points through chronological analysis.

JP2026010853APending Publication Date: 2026-01-23LY CORP

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Patent Information

Application Number: JP2024110898
Authority / Receiving Office: JP · JP
Patent Type: Applications
Current Assignee / Owner
Filing Date: 2024-07-10
Publication Date: 2026-01-23

AI Technical Summary

Technical Problem

Conventional techniques lack effective methods to appropriately visualize the cause of events based on past information.

Method used

An information processing device that collects comments on past articles with similar content, generates explanatory content to estimate the cause of an event, and provides this content alongside the target article, utilizing a generation AI to enhance visualization.

Benefits of technology

Enables accurate visualization of event causes by reusing past comment data as asset value, allowing deeper understanding of key points and problems through chronological analysis of similar events.

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Abstract

To appropriately visualize the cause of an event on the basis of past information.SOLUTION: An information processing apparatus includes a collection unit, a generation unit, and a provision unit. The collection unit collects comments on past articles of a similar event having content similar to that of the target article. The generation unit generates description content of supplementary information estimated in relation to the article event of the target article on the basis of the comments collected by the collection unit. The provision unit provides the description content and the target article generated by the generation unit.SELECTED DRAWING: Figure 7

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Description

[Technical Field]

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

[0002] 2. Description of the Related Art Conventionally, there are known techniques for increasing the value of a target article based on comments posted on the target article. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2024-027686 Summary of the Invention [Problem to be solved by the invention]

[0004] However, conventional techniques have room for further improvement in terms of, for example, appropriately visualizing the cause of an event based on past information.

[0005] The present application has been made in view of the above, and aims to appropriately visualize the cause of an event based on past information. [Means for solving the problem]

[0006] The information processing device of the present application is characterized by having a collection unit that collects comments on past articles of similar events with content similar to that of a target article, a generation unit that generates explanatory content of supplementary information estimated regarding the article event of the target article based on the comments collected by the collection unit, and a provision unit that provides the explanatory content generated by the generation unit and the target article. [Effects of the Invention]

[0007] According to one aspect of the embodiment, it is possible to provide an effect that the cause of an event can be appropriately visualized based on past information. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram illustrating an example of the configuration of an information processing system according to an embodiment. [Figure 2A] FIG. 2A is a diagram showing an example of a comment on a past article according to the embodiment. [Figure 2B] FIG. 2B is a diagram illustrating an example of a target article according to the embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of distribution content according to the embodiment. [Figure 4] FIG. 4 is a diagram illustrating an example of a prompt according to the embodiment. [Figure 5] FIG. 5 is a diagram illustrating an example of information processing according to the embodiment. [Figure 6] FIG. 6 is a diagram illustrating an example of the configuration of a user terminal according to the embodiment. [Figure 7] FIG. 7 is a diagram illustrating an example of the configuration of an information processing device according to the embodiment. [Figure 8] FIG. 8 is a diagram illustrating an example of a past article storage unit according to the embodiment. [Figure 9] FIG. 9 is a diagram illustrating an example of a comment storage unit according to the embodiment. [Figure 10] FIG. 10 is a flowchart illustrating an example of a procedure for information processing according to the embodiment. [Figure 11] FIG. 11 is a hardware configuration diagram illustrating an example of a computer that realizes the functions of the information processing device. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an information processing device, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail with reference to the drawings. Note that the information processing device, the information processing method, and the information processing program according to the present application are not limited to these embodiments. Furthermore, the same components in the following embodiments will be denoted by the same reference numerals, and duplicated descriptions will be omitted.

[0010] (Embodiment) [1. Information Processing System Configuration] An information processing system 1 shown in Fig. 1 will be described. As shown in Fig. 1, the information processing system 1 includes a user terminal 10 and an information processing device 100. The user terminal 10 and the information processing device 100 are connected to each other via a predetermined communication network (network N) so as to be able to communicate with each other via wired or wireless communication. Fig. 1 is a diagram showing an example of the configuration of the information processing system 1 according to an embodiment.

[0011] The user terminal 10 is an information processing device used by a user who performs web activities on a predetermined service (e.g., an information providing site, etc.). A user who uses the user terminal 10 is, for example, a user who views a predetermined article (hereinafter referred to as a "target article") related to an embodiment on the predetermined service.

[0012] Here, the target article according to the embodiment is an article that covers a specific event (for example, an accident) when that event occurs. Hereinafter, the event that is the content of the target article will be referred to as an "article event" as appropriate. Also, below, a past event that is similar to the article event will be referred to as a "similar event" as appropriate. In other words, the similar event according to the embodiment is a past event that has similar content to the target article. Therefore, the similar event according to the embodiment is an event that is the content of a past article (hereinafter, referred to as a "past article" as appropriate). In other words, a past article according to the embodiment is an article that covers a past event at the time of the occurrence of a past event that precedes the target event.

[0013] The user terminal 10 may be any device that can implement the processes in the embodiment. The user terminal 10 may also be a smartphone, a tablet terminal, a notebook PC, a desktop PC, a mobile phone, a PDA, or other device. Figure 4 shows a case where the user terminal 10 is a smartphone.

[0014] The user terminal 10 is, for example, a smart device such as a smartphone or tablet, and is a portable terminal device capable of communicating with any server device via a wireless communication network such as 4G to 5G (Generations) or LTE (Long Term Evolution). The user terminal 10 may have a screen such as a liquid crystal display with a touch panel function, and may accept various operations on displayed data such as content, such as tapping, sliding, and scrolling, performed by a user's finger or stylus. In FIG. 4, the user terminal 10 is used by a user U1.

[0015] The information processing device 100 is an information processing device intended to appropriately visualize information such as the cause of an event based on past information, and may be any device capable of implementing the processes described in the embodiments. For example, the information processing device 100 collects comments on past articles about similar events with content similar to that of a target article, and generates content (hereinafter referred to as "explanatory content") that explains information such as a presumed cause of the event in the target article (corresponding to "supplementary information" described below). The information processing device 100 is realized, for example, by a server device or cloud system of an operator of a predetermined service through which users perform web activities. That is, the information processing device 100 is realized, for example, by a server device or cloud system of an article distributor that distributes the target article. For example, the information processing device 100 is realized by a server device or cloud system of an information provider that provides information to users who access a predetermined service.

[0016] [2. An example of information processing] In the following embodiment, when a predetermined event (article event) occurs, past comments (comments on past articles) are collected and the information is visualized, so that the event (article event) can be viewed not only from the current perspective but also from the perspective of past events (similar events), thereby appropriately grasping information about the current event (article event). In the following embodiment, past comments (comments on past articles) are also reused as asset value for visualizing information about a newly occurring event. That is, in the following embodiment, the event that has occurred (article event) is matched with past comments (comments on past articles) to provide supplementary information about the event that has occurred (article event).

[0017] In the following embodiments, the supplemental information (visualized information) provided in this manner is, for example, a presumed cause of the event described in the article. For example, it is a cause as to why the event described in the article occurred. Also, for example, it is a cause as to whether the event described in the article was something that should have happened. Note that the supplemental information according to the embodiments is not limited to a cause, and may be, for example, an issue, a key point, or a problem. For example, it may be a presumed issue, a key point, or a problem regarding the event described in the article.

[0018] Here, the explanation content according to the embodiment will be described in detail. The explanation content according to the embodiment is explanation content that explains supplementary information such as estimated causes, issues, key points, and problems related to the article phenomenon of the target article. The explanation content according to the embodiment is provided, for example, together with the target article. For example, the explanation content according to the embodiment is displayed outside the frame of the target article within content including the target article (hereinafter referred to as "distribution content" as appropriate). Note that the distribution content is content that is distributed to users. Furthermore, since the supplementary information according to the embodiment is information estimated based on comments on past articles of similar events, the distribution content according to the embodiment includes the target article and information based on comments on past articles of similar events. In other words, the distribution content according to the embodiment includes the explanation content and the target article.

[0019] The following description will be given taking as an example a case where the article event of the target article C1 is a transportation accident caused by a transportation company W1. Note that although a transportation accident will be taken as an example of an article event, the article event according to the embodiment may be of any type and is not particularly limited. For example, the article event does not have to be limited to news-related events such as accidents and crimes, but may also be events related to sports, shopping, entertainment, economics, stocks, etc.

[0020] FIG. 2A is a diagram showing an example of a comment on a past article according to an embodiment. FIG. 2B is a diagram showing an example of a target article according to an embodiment. Comment P1 (hereinafter, comments P11, P12, P13, etc. will be collectively referred to as "comment P1") (see FIG. 2A) is a comment on past article C2 when transportation company W1 caused a transportation accident in the past. In other words, past article C2 is a past article about a transportation accident that transportation company W1 caused in the past. Past article C2 is a past article identified as a past article of an event similar to the article event of target article C1 (see FIG. 2B). Note that, although a case where past article C2 is identified will be described as an example of a past article, multiple past articles may be identified, and the number of identified past articles need not be particularly limited.

[0021] 3 is a diagram illustrating an example of distribution content according to an embodiment. Distribution content H1 includes a display frame F1 that displays the content of target article C1 and a display frame F2 that displays information (corresponding to explanatory content) based on comment P1. If multiple past articles are identified, the display frame F2 displays the information based on the multiple comments. For example, if multiple past articles including past article C2 are identified, the display frame F2 displays the information based on the multiple comments including comment P1.

[0022] Here, the details of the information displayed in the display frame F2 will be explained. For example, the display frame F2 displays information such as "The following comments were received in the past" regarding the content of the article event of the target article C1. In the example of FIG. 3, the display frame F2 displays information such as "The following information was received in the past regarding the transportation company W1 involved in the accident: · Dangerous driving has been prominent for several years (two years ago) · Poor working conditions for drivers have been complained about (one year ago)." As in this example, information indicating when in the past the content occurred, such as "one year ago" or "two years ago," may be displayed. For example, information indicating when in the past the event occurred may be displayed. Also, for example, information indicating when in the past the information content was based on a comment may be displayed. Furthermore, the information may be displayed in chronological order, such as "one year ago" or "two years ago." For example, to allow users to look back in time, the oldest articles may be displayed immediately after the target article C1, starting with "two years ago" and then "one year ago." Note that information such as "Dangerous driving has been prominent for several years (two years ago) / Poor working conditions for drivers have been complained about (one year ago)" is supplementary information at the time of the occurrence of a similar event, and is supplementary information to the article event in target article C1. For example, it is a problem at the time of the occurrence of a similar event, and the cause of the article event in target article C1.

[0023] Furthermore, the display frame F2 may display information summarizing supplementary information that can be inferred chronologically when viewing supplementary information about the event in the target article C1 from supplementary information about the occurrence of a similar event. For example, information such as, "The transportation accident caused by transportation company W1 in this case is believed to have been influenced by a chronic work environment that has occurred in the past, which led to a bad situation that led to this transportation accident" may be displayed. In the example of Figure 3, the display frame F2 may display information such as, "This accident was not a one-time event, but may have occurred due to the company's culture or the driver's work environment. If these had been improved, it may have been prevented." Information suggesting that the event in the target article C1 could have been avoided based on supplementary information about the occurrence of a similar event may also be displayed. This makes it possible to analyze and investigate the cause by looking at the current situation from the past.

[0024] The information processing of the information processing system will be described below. Fig. 4 is a diagram showing an example of information processing of the information processing system according to the embodiment.

[0025] The information processing device 100 acquires information about the target article C1 (step S101). For example, the information processing device 100 acquires information about a request to view the target article C1 received from the user U1 on a predetermined service. The target article C1 is, for example, an article for which the user U1 has made a request to view. The information processing device 100 then identifies past articles of similar events with content similar to that of the target article C1 (step S102). In the example of FIG. 4, the information processing device 100 identifies the past article C2. The information processing device 100 then collects comments on the past article C2 (comments posted on the past article C2) (step S103). For example, the information processing device 100 collects comments on the past article C2 from a comment database (corresponding to the comment storage unit 122 described below) that stores past articles and comments in association with each other. For example, when a comment P11, a comment P12, a comment P13, . . . are posted to a past article C2, the information processing device 100 collects the comment P11, the comment P12, the comment P13, .

[0026] The information processing device 100 generates explanatory content for supplemental information estimated regarding the article event of the target article C1 based on the comment P1 (step S104). For example, the information processing device 100 generates a prompt including an instruction sentence instructing the device to estimate supplemental information regarding the article event of the target article C1 from information regarding the past article C2 (e.g., the content of the past article C2, the comment P1, etc.). FIG. 5 is a diagram illustrating an example of a prompt according to an embodiment. In this case, for example, the information processing device 100 may generate a prompt including an instruction sentence instructing the device to estimate supplemental information regarding the article event of the target article C1 from information regarding the target article C1 (e.g., the content of the target article C1, comments on the target article C1, etc.) in addition to information regarding the past article C2. The information processing device 100 then provides the generated prompt to the generation AI, thereby generating explanatory content using the generation AI. For example, the information processing device 100 provides the generated prompt and information regarding the past article C2, or the generated prompt and information regarding the past article C1 and information regarding the past article C2, to the generation AI, thereby generating explanatory content using the generation AI. In the example of FIG. 4, the information processing device 100 generates explanation content D1.

[0027] Then, the information processing device 100 provides the explanation content D1 and the target article C1 (step S105). For example, the information processing device 100 distributes distribution content H1 including the target article C1 in display frame F1 and the explanation content D1 in display frame F2. For example, the information processing device 100 distributes the distribution content H1 as a result of a view request for the target article C1 received from user U1. Upon receiving the distribution content H1, the user terminal 10 displays the target article C1 in display frame F1 and the explanation content D1 in display frame F2. The user U1 can view the target article C1 and the explanation content D1 on the same screen by performing an operation such as scrolling on the distribution content H1 displayed on the display screen of the user terminal 10.

[0028] (Information processing variation 1: Identifying past articles) In the above embodiment, when multiple past articles are identified, the display frame F2 displays information based on multiple comments. For example, when multiple past articles including past article C2 are identified, the display frame F2 displays information based on multiple comments including comment P1. Furthermore, in the above embodiment, past articles of similar events that are highly similar to the article event may be preferentially identified among similar events. For example, by evaluating the similarity to the article event and ranking the past articles, past articles of similar events that are highly similar to the article event may be preferentially identified among similar events. In this case, the display frame F2 displays information based on comments on past articles of similar events that are highly similar to the article event. Specifically, the display frame F2 displays information based on comments on past articles that are preferentially identified as past articles of similar events that are highly similar to the article event. In other words, explanation content may be generated based on comments on past articles that are preferentially identified as past articles of similar events that are highly similar to the article event.

[0029] (Information processing variation 2: Identifying comments) Furthermore, in the above embodiment, explanatory content may be generated based on comments highly relevant to the supplemental information for a similar event. That is, to generate explanatory content, comments highly relevant to the supplemental information for a similar event may be preferentially identified. In this case, the display frame F2 displays information based on comments highly relevant to the supplemental information for a similar event. Specifically, the display frame F2 displays information based on comments preferentially identified as being highly relevant to the supplemental information for a similar event. In this case, explanatory content may be generated by extracting common supplemental information from comments highly relevant to the supplemental information for a similar event. For example, explanatory content may be generated by extracting common supplemental information from comments highly relevant to the supplemental information for a similar event and hypothesizing the supplemental information behind the event in the article. The explanatory content generated in this manner may be used, for example, as material for considering future countermeasures. Comments highly relevant to the supplemental information for a similar event may be, for example, comments that are frequently posted regarding the similar event.

[0030] (Information processing variation 3: Link-based access) In the above embodiment, a case has been described in which information indicating when in the past the content occurred, such as "one year ago" or "two years ago," is displayed. For example, a case has been described in which information such as "· Dangerous driving has been prominent for several years (two years ago) / · Poor working conditions for drivers have been complained about (one year ago)" is displayed. In this way, a case has been described in which supplemental information at the time of occurrence of similar events is displayed in chronological order. In the above embodiment, the supplemental information according to the embodiment may include a link (e.g., a uniform resource locator (URL)). When the supplemental information is operated (e.g., tapped or clicked), the information that is the source of the supplemental information may be accessible. That is, the link included in the supplemental information according to the embodiment is a link linked to information about a past article. For example, the link included in the supplemental information according to the embodiment may be a link linked to a past article, and when the supplemental information is operated, the past article that is the source of the supplemental information may be accessible. Furthermore, for example, the link included in the supplemental information according to the embodiment may be a link linked to a comment on a past article, and when the supplemental information is operated, the comment that is the source of the supplemental information may be accessible. For example, using the example in Figure 3, by operating "Dangerous driving has been noticeable for several years (2 years ago)", it is possible to display a past article about a similar incident from two years ago, or to display one or more comments in a past article about a similar incident from two years ago that state something like "Dangerous driving has been noticeable for several years."

[0031] (Information Processing Variation 4: Permission of Article Contributor) In the above embodiment, the information processing device 100 identifies the past article C2 based on information about the target article C1. In this manner, the case where articles such as the target article C1 and the past article C2 can be used without any restrictions has been described. However, there may be cases where the article poster or rights holder of the article is opposed to the use of their article. In the above embodiment, the information processing device 100 may perform data analysis on the article only if the article poster or rights holder has given permission (authorization) to use their article. That is, for example, the information processing device 100 may perform the processing according to the above embodiment only if the article poster or rights holder of the target article C1 has given permission. Also, for example, the information processing device 100 may perform the processing according to the above embodiment only if the article poster or rights holder of the target article C1 and the past article C2 has given permission. Also, for example, the information processing device 100 may identify the past article C2 from among the articles for which permission has been given in advance, and perform the processing according to the above embodiment.

[0032] (Information Processing Variation 5: Permission of the Comment Poster) In the above embodiment, the information processing device 100 generates explanatory content for supplemental information estimated regarding the article event of the target article C1 based on the comment P1 on the past article C2. In this manner, the case where the comment P1 can be used without any restrictions was described. However, there may be cases where the poster of the comment is opposed to the use of their comment. In the above embodiment, the information processing device 100 may perform comment analysis only if the poster of the comment has given permission for the use of their comment. That is, for example, the information processing device 100 may perform the processing according to the above embodiment only if the poster of the comment P11, comment P12, etc. has given permission. Furthermore, for example, the information processing device 100 may identify comments from the comment P1 that the comment poster has given permission for in advance, and perform the processing according to the above embodiment.

[0033] [3. User terminal configuration] Next, the configuration of the user terminal 10 according to the embodiment will be described with reference to Fig. 6. Fig. 6 is a diagram showing an example of the configuration of the user terminal 10 according to the embodiment. As shown in Fig. 6, the user terminal 10 has a communication unit 11, an input unit 12, an output unit 13, and a control unit 14.

[0034] (Communications Department 11) The communication unit 11 is realized by, for example, a network interface card (NIC), etc. The communication unit 11 is connected to a predetermined network N by wire or wirelessly, and transmits and receives information to and from the information processing device 100, etc., via the predetermined network N.

[0035] (Input section 12) The input unit 12 accepts various operations from a user. In FIG. 4, the input unit 12 accepts various operations from a user U1. For example, the input unit 12 may accept various operations from a user via a display screen using a touch panel function. The input unit 12 may also accept various operations from buttons provided on the user terminal 10 or a keyboard or mouse connected to the user terminal 10.

[0036] (Output section 13) The output unit 13 is a display screen of a tablet terminal or the like realized by, for example, a liquid crystal display or an organic EL (Electro-Luminescence) display, and is a display device for displaying various information. For example, the output unit 13 displays information transmitted from the information processing device 100. For example, the output unit 13 displays distributed content. For example, the output unit 13 displays distributed content that includes a target article and explanatory content in predetermined areas.

[0037] (Control unit 14) The control unit 14 is, for example, a controller, and is realized by a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) executing various programs stored in a storage device inside the user terminal 10 using a RAM (Random Access Memory) as a work area. For example, these various programs include application programs installed in the user terminal 10. For example, these various programs include application programs that display information transmitted from the information processing device 100. The control unit 14 is also realized by an integrated circuit, such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0038] As shown in FIG. 6, the control unit 14 has a receiving unit 141 and a transmitting unit 142, and realizes or executes the information processing operations described below.

[0039] (Receiving unit 141) The receiving unit 141 receives, for example, information transmitted from the information processing device 100. For example, the receiving unit 141 receives distributed content. Also, for example, the receiving unit 141 receives control information for displaying the distributed content. Also, for example, the receiving unit 141 receives control information for displaying explanatory content in a predetermined area. Also, for example, the receiving unit 141 receives control information for displaying explanatory content in an area different from the predetermined area for displaying the target article.

[0040] (Transmitter 142) The transmission unit 142 transmits information to, for example, the information processing device 100. For example, the transmission unit 142 transmits information related to the user's web behavior. For example, the transmission unit 142 transmits information related to a request to view a target article received from the user.

[0041] 4. Configuration of Information Processing Device Next, the configuration of the information processing device 100 according to the embodiment will be described with reference to Fig. 7. Fig. 7 is a diagram showing an example of the configuration of the information processing device 100 according to the embodiment. As shown in Fig. 7, the information processing device 100 has a communication unit 110, a storage unit 120, and a control unit 130. Note that the information processing device 100 may also have an input unit (e.g., a keyboard or a mouse) that accepts various operations from an administrator of the information processing device 100, and a display unit (e.g., a liquid crystal display) that displays various information.

[0042] (Communication unit 110) The communication unit 110 is realized by, for example, a NIC etc. The communication unit 110 is connected to a network N by wire or wirelessly, and transmits and receives information to and from the user terminal 10 etc. via the network N.

[0043] (Storage unit 120) The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 7, the storage unit 120 has a past article storage unit 121 and a comment storage unit 122.

[0044] The past article storage unit 121 stores the contents of past articles. Here, FIG. 8 shows an example of the past article storage unit 121 according to the embodiment. The information stored in the past article storage unit 121 is used, for example, to identify past articles of similar events with content similar to that of the target article. As shown in FIG. 8, the past article storage unit 121 has items such as "past article ID," "event," and "past article content."

[0045] "Past article ID" indicates identification information for identifying a past article. "Event" indicates an event. "Past article content" indicates the content of a past article. In the example shown in Figure 8, conceptual information such as "Past article content #1" and "Past article content #2" is stored in "Past article content", but in reality, character data and image data contained in past articles are stored. For example, character data and image data contained in past article C2 are stored. For example, the URL where the image data is located, or a file path name indicating the storage location, may also be stored.

[0046] The comment storage unit 122 stores the contents of comments. Here, FIG. 9 shows an example of the comment storage unit 122 according to the embodiment. The information stored in the comment storage unit 122 is used, for example, to collect comments on past articles. As shown in FIG. 9, the comment storage unit 122 has items such as "past article ID," "comment ID," and "comment." In the example shown in FIG. 9, conceptual information such as "comment #11" and "comment #12" is stored in "comment," but in reality, character data included in the comments is stored.

[0047] (control unit 130) The control unit 130 is a controller, and is realized by, for example, a CPU or an MPU executing various programs stored in a storage device inside the information processing device 100 using RAM as a work area. The control unit 130 is also realized by, for example, an integrated circuit such as an ASIC or an FPGA.

[0048] 7, the control unit 130 has an acquisition unit 131, an identification unit 132, a collection unit 133, a generation unit 134, and a provision unit 135, and realizes or executes the information processing action described below. Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 7, and may be any other configuration as long as it performs the information processing described below.

[0049] (Acquisition part 131) The acquiring unit 131 acquires various pieces of information from the storage unit 120. The acquiring unit 131 also stores the acquired various pieces of information in the storage unit 120.

[0050] The acquisition unit 131 acquires various pieces of information from an external information processing device. The acquisition unit 131 acquires various pieces of information from other information processing devices such as the user terminal 10.

[0051] The acquisition unit 131 acquires, for example, information related to the target article. For example, the acquisition unit 131 acquires information related to a request to view the target article received from a user.

[0052] (Specific Section 132) The identification unit 132 identifies past articles of similar events with content similar to that of the target article, for example, based on the information acquired by the acquisition unit 131. For example, the identification unit 132 identifies past articles of similar events with content similar to that of the target article by comparing character data included in the title of the target article with character data included in the title of the past article. Furthermore, for example, the identification unit 132 identifies past articles of similar events with content similar to that of the target article by comparing image data included in the top image of the target article with image data included in the top image of the past article.

[0053] The identification unit 132, for example, identifies past articles of similar events that are highly similar to the article event of the target article. For example, the identification unit 132 ranks the past articles by evaluating the similarity to the article event of the target article, thereby preferentially identifying past articles of similar events that are highly similar to the article event among the similar events.

[0054] The identification unit 132, for example, identifies comments that are highly related to the supplementary information of a similar event. For example, the identification unit 132 ranks the comments by evaluating their relevance to the supplementary information of a similar event, thereby preferentially identifying comments that are highly related to the supplementary information of a similar event from among the comments on the identified past article.

[0055] (Collection Department 133) The collection unit 133, for example, collects comments on past articles identified by the identification unit 132. For example, the collection unit 133 collects comments on past articles of similar events that are highly similar to the article event of the target article. Furthermore, for example, the collection unit 133 collects comments that are highly related to supplementary information on the similar events.

[0056] (Generation unit 134) The generation unit 134 generates explanatory content of supplemental information estimated regarding the article phenomenon of the target article, for example, based on the comments collected by the collection unit 133. For example, the generation unit 134 generates a prompt including an instruction sentence instructing the generation unit 134 to estimate the supplemental information from information about past articles. For example, the generation unit 134 generates a prompt including an instruction sentence instructing the generation unit 134 to estimate the supplemental information from information about past articles, in addition to information about the target article. The generation unit 134 then generates the explanatory content by providing the generated prompt to the generation AI. Specifically, the generation unit 134 causes the generation AI to generate the explanatory content.

[0057] (Provider 135) The providing unit 135 provides, for example, the explanatory content and the target article generated by the generating unit 134. For example, the providing unit 135 provides distribution content including the explanatory content and the target article generated by the generating unit 134. For example, the providing unit 135 provides distribution content including the explanatory content in an area different from a predetermined area for displaying the target article.

[0058] [5. Information Processing Flow] Next, the procedure of information processing by the information processing system 1 according to the embodiment will be described with reference to Fig. 10. Fig. 10 is a flowchart showing the procedure of information processing by the information processing system according to the embodiment.

[0059] As shown in FIG. 10, the information processing device 100 identifies past articles of similar events with content similar to that of the target article (step S201). The information processing device 100 collects comments on the identified past articles (step S202). The information processing device 100 generates prompts for inferring supplementary information from the collected comments (step S203). The information processing device 100 provides the generated prompts to a generation AI to generate explanatory content (step S204). The information processing device 100 provides distribution content including the generated explanatory content (step S205).

[0060] [6. Effects] As described above, the information processing device 100 according to the embodiment includes the collection unit 133, the generation unit 134, and the provision unit 135. The collection unit 133 collects comments on past articles about similar events with content similar to that of a target article. The generation unit 134 generates explanatory content of supplemental information estimated regarding the article event of the target article based on the comments collected by the collection unit 133. The provision unit 135 provides the explanatory content generated by the generation unit 134 and the target article.

[0061] As a result, the information processing device 100 according to the embodiment can appropriately visualize the cause of an event based on past information, for example, and therefore can easily grasp the key points of the event, problems, etc. Furthermore, the information processing device 100 according to the embodiment can also reuse past comment data as asset value, for example.

[0062] Furthermore, the generating unit 134 generates explanatory content based on comments on past articles of similar events that are highly similar to the event in the article among the similar events.

[0063] As a result, the information processing device 100 according to the embodiment can generate explanatory content from comments on past articles about highly similar events, for example, and can therefore more appropriately visualize the causes of events, etc.

[0064] Furthermore, the generating unit 134 generates explanation content based on comments that are highly relevant to supplementary information on similar events among the comments.

[0065] As a result, the information processing device 100 according to the embodiment can generate explanatory content from comments that are highly relevant to supplementary information on similar events, for example, and can therefore more appropriately visualize the causes of events, etc.

[0066] Furthermore, the generating unit 134 generates explanatory content that presents supplementary information on similar events in chronological order.

[0067] As a result, the information processing apparatus 100 according to the embodiment can, for example, analyze and investigate the cause by looking at the current situation from the past based on past information.

[0068] Furthermore, the generating unit 134 generates explanatory content including a link linked to information relating to past articles.

[0069] As a result, the information processing device 100 according to the embodiment can access, for example, the information that is the source of the supplementary information, and by accessing and referring to past information, it is possible to more deeply understand the key points and problems of an event.

[0070] Furthermore, the generation unit 134 generates a prompt including an instruction sentence instructing the user to estimate supplemental information from information related to past articles, and generates explanatory content using a generation AI.

[0071] As a result, the information processing device 100 according to the embodiment is able to perform visualization with higher accuracy, for example, and therefore allows the key points of events and problems to be grasped more accurately.

[0072] [7. Hardware Configuration] The information processing device 100 according to the embodiment described above is realized, for example, by a computer 1000 configured as shown in Fig. 11. Fig. 11 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device 100. The computer 1000 has a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

[0073] The CPU 1100 operates and controls each unit based on programs stored in the ROM 1300 or the HDD 1400. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 starts up, programs that depend on the hardware of the computer 1000, and the like.

[0074] The HDD 1400 stores programs executed by the CPU 1100, data used by these programs, etc. The communication interface 1500 acquires data from other devices via a predetermined communication network and sends it to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the predetermined communication network.

[0075] The CPU 1100 controls output devices such as a display and a printer, and input devices such as a keyboard and a mouse, via the input / output interface 1600. The CPU 1100 acquires data from the input devices via the input / output interface 1600. The CPU 1100 also outputs generated data to the output devices via the input / output interface 1600.

[0076] Media interface 1700 reads a program or data stored in recording medium 1800 and provides it to CPU 1100 via RAM 1200. CPU 1100 loads the program or data from recording medium 1800 onto RAM 1200 via media interface 1700 and executes the loaded program. Recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase Change Rewritable Disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory.

[0077] For example, when the computer 1000 functions as the information processing device 100 according to the embodiment, the CPU 1100 of the computer 1000 executes programs loaded onto the RAM 1200 to realize the functions of the control unit 130. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800, but as another example, the CPU 1100 may obtain these programs from another device via a predetermined communication network.

[0078] [8. Other] Furthermore, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically using a known method. In addition, the information including the processing procedures, specific names, various data, and parameters shown in the above documents and drawings can be changed as desired unless otherwise specified. For example, the various information shown in each drawing is not limited to the information shown in the drawings.

[0079] Furthermore, the components of each device shown in the figure are conceptual functional components and do not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of each device is not limited to that shown in the figure, and all or part of them can be functionally or physically distributed and integrated in any unit depending on various loads, usage conditions, etc.

[0080] Furthermore, the above-described embodiments can be combined as appropriate within the scope of not causing any contradiction in the processing content.

[0081] Although some of the embodiments of the present application have been described in detail above with reference to the drawings, these are merely examples, and the present invention can be implemented in other forms that include the embodiments described in the Disclosure of the Invention section and that have been modified and improved in various ways based on the knowledge of those skilled in the art.

[0082] Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit," etc. For example, an acquisition unit can be read as an acquisition means or an acquisition circuit. [Explanation of symbols]

[0083] 1. Information Processing Systems 10 User terminal 11 Communications Department 12 Input section 13 Output section 14 Control Unit 100 Information processing device 110 Communications Department 120 Storage section 121 Past Article Memory 122 Comment storage section 130 Control Unit 131 Acquisition Department 132 Specific part 133 Collection Department 134 Generation part 135 Provision Department 141 Receiving unit 142 Transmitter N Network

Claims

1. a collection unit that collects comments on past articles about similar events with content similar to that of the target article; a generation unit that generates explanatory content of supplemental information estimated regarding the article phenomenon of the target article based on the comments collected by the collection unit; a providing unit that provides the explanatory content generated by the generating unit and the target article; An information processing device comprising:

2. The generation unit The explanation content is generated based on comments on past articles of similar events that are highly similar to the event in the article among the similar events.