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

Abstract

To provide an information processing device, an information processing method, and an information processing program, which allow a user to efficiently understand content of news articles.SOLUTION: An information processing device disclosed herein comprises an extraction unit for extracting questions from a news article satisfying given conditions, a generation unit for generating answers to the questions on the basis of related articles related to the news article, and a provision unit for providing the questions and answers together with the news article.SELECTED DRAWING: Figure 3

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, services that deliver content such as news articles to users have been known. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2018-81394 Summary of the Invention [Problem to be solved by the invention]

[0004] However, when the content of a distributed news article is difficult to understand or the information contained in the news article is insufficient, the news article alone does not provide the information the user needs, and the user must read other related articles to obtain the information. Thus, there has been room for improvement in the past in terms of helping users to efficiently understand the content of news articles.

[0005] The present application has been made in view of the above, and aims to provide an information processing device, an information processing method, and an information processing program that enable a user to efficiently understand the contents of a news article. [Means for solving the problem]

[0006] The information processing device of the present application includes an extraction unit that extracts questions from news articles that satisfy specified conditions, a generation unit that generates answers to the questions based on related articles that are related to the news articles, and a provision unit that provides the questions and the answers together with the news articles. [Effects of the Invention]

[0007] According to one aspect of the embodiment, an effect is achieved in that a user can efficiently understand the contents of a news article. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram showing a process executed by an information processing apparatus according to an embodiment. [Figure 2] FIG. 2 is a diagram illustrating an example of the configuration of an information processing system according to the embodiment. [Figure 3] FIG. 3 is a diagram illustrating an example of the configuration of the information processing device according to the embodiment. [Figure 4] FIG. 4 is a diagram illustrating an example of user information. [Figure 5] FIG. 5 is a diagram showing an example of article information. [Figure 6] FIG. 6 is a flowchart showing the processing procedure of the processing executed by the information processing apparatus according to the embodiment. [Figure 7] FIG. 7 is a diagram illustrating an example of a hardware configuration. 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) First, a process executed by an information processing device according to an embodiment will be described with reference to Fig. 1. Fig. 1 is a diagram showing a process executed by an information processing device according to an embodiment. Fig. 1 shows an example of operation of an information processing system S including an information processing device 1 according to an embodiment.

[0011] As shown in FIG. 1, an information processing system S according to the embodiment includes an information processing device 1, a user terminal 100, and a request source terminal 200.

[0012] As shown in Figure 1, the information processing system S of the embodiment extracts questions from news articles that meet certain conditions, generates answers to the questions based on related articles related to the news article, and provides the questions and answers together with the news article.

[0013] Specifically, first, the request source terminal 50 submits a news article to the information processing device 1 in accordance with an operation of the requester (step S1). The news article includes text information and image information.

[0014] Next, the information processing device 1 identifies news articles that satisfy predetermined conditions from among the submitted news articles (step S2). For example, the information processing device 1 identifies a news article as satisfying the predetermined conditions if the number of characters in the news article is equal to or greater than a threshold. Furthermore, the information processing device 1 identifies a news article as satisfying the predetermined conditions if it receives a low rating from the user who distributed the news article. The low rating is received, for example, by operating a high rating button or a low rating button located at the end of the news article. In other words, the information processing device 1 identifies a news article that is expected to be difficult for a user to understand (cannot be understood, or takes time to understand) when reading the news article as satisfying the predetermined conditions. From this perspective, the information processing device 1 may, for example, analyze news articles at the time of submission and identify news articles that lack explanations of technical terms, news articles with insufficient sentence structure (introduction, development, twist, conclusion, subject, predicate, object, etc.), news articles that refer to other news articles (with links, sentences such as ``introduced in a past article'' or ``an incident that occurred at a meeting on A month B date''), etc. as news articles that meet specified conditions.

[0015] Next, the information processing device 1 extracts questions from the identified news article (step S3). For example, the information processing device 1 inputs a prompt to the generation AI along with the news article, instructing it to extract questions, and the questions output from the generation AI are the extraction results. Furthermore, the information processing device 1 performs natural language processing on the news article to extract insufficiently explained technical terms, poorly structured sentences, and the like as questions. Furthermore, when a news article contains information that references another news article (such as a link or a sentence such as "introduced in a past article" or "an incident that occurred at a meeting on A month B"), the information processing device 1 extracts the information as a question.

[0016] The information processing device 1 is not limited to extracting questions from the content of a news article, but may also extract questions based on comments posted by users on the news article. For example, when the comments include a comment such as "I don't understand the part AA in the article" or an explanatory comment or supplementary comment regarding part of the content of the article, the information processing device 1 extracts the relevant part in the article as a question.

[0017] Next, the information processing device 1 generates an answer to the question based on related articles related to the identified news article (step S4). First, the information processing device 1 identifies related articles related to the news article. For example, the information processing device 1 identifies news articles that mention the same event as the event mentioned in the news article as related articles. Note that the event may be, for example, an event indicating a category such as sports, politics, finance, or events, or an event indicating a unique occurrence such as a job hunting event held at AA on month A and day B. There may be one or more related articles.

[0018] Note that related articles are news articles submitted by clients (submitters) whose distribution status of news articles related to the events mentioned in the news article meets predetermined conditions. For example, in the case of news articles related to politics, the information processing device 1 identifies as related articles news articles submitted by submitters who submit news articles related to politics at a predetermined rate or more. Also, related articles are, for example, news articles distributed (submitted) within a predetermined period before or after the timing of distribution (submission) of the news article. Also, related articles are news articles submitted by submitters whose news articles are highly reliable. For example, the information processing device 1 identifies as related articles news articles submitted by submitters with few (or no) reporting histories of news articles distributed in the past, or news articles submitted by submitters who have received high ratings (pressing the above-mentioned high rating button) for news articles distributed in the past.

[0019] The information processing device 1 inputs the question and related articles, as well as a prompt instructing the generation of an answer, to the generation AI, and the answer output from the generation AI is the generated result. The information processing device 1 may also generate an answer to a question based on the results of natural language processing of the related articles. Note that, when multiple answers with different meanings are generated from multiple related articles for one question, the information processing device 1 may provide all of the multiple answers to the user as the generated result.

[0020] Furthermore, the information processing device 1 is not limited to generating answers from the content of related articles. It may also generate answers based on comments posted by users on related articles. For example, the information processing device 1 generates answers to questions based on the results of natural language processing of the comments. Furthermore, the information processing device 1 may generate answers by performing natural language processing on only explanatory comments and supplementary comments among the comments.

[0021] Next, the information processing device 1 provides Q&A content indicating questions and answers together with the news article to the user terminal 100 (step S5).

[0022] For example, as shown in Fig. 1, the information processing device 1 displays the QA content C2 alongside the news article C1 on the user terminal 100. Specifically, the information processing device 1 displays the QA content C2 alongside the top (first part) of the news article C1. This allows the user to check the QA content C2 before reading the news article.

[0023] Furthermore, the information processing device 1 may narrow down the users to whom the QA content is provided. For example, the information processing device 1 provides the QA content to users whose browsing history of news articles related to the event mentioned in the news article satisfies a predetermined condition. For example, the information processing device 1 provides the QA content to users whose number of browsing of news articles related to the event is equal to or exceeds a threshold. Alternatively, the information processing device 1 provides the QA content to users who, immediately before browsing the news article, have browsed a news article related to the same event as the news article in question.

[0024] In this way, the present disclosure extracts questions from news articles and generates answers to the questions from related articles. By checking the Q&A content, users can roughly grasp the content of news articles, even if the content is difficult to understand. Furthermore, even if the information contained in a news article is insufficient, the Q&A content can supplement the insufficient information, eliminating the need for users to read other articles to obtain the information. In this way, the information processing device 1 allows users to efficiently understand the content of news articles.

[0025] Next, a configuration example of an information processing system S according to an embodiment will be described with reference to Fig. 2. Fig. 2 is a block diagram showing a configuration example of the information processing system S according to an embodiment. As shown in Fig. 2, in the information processing system S according to an embodiment, an information processing device 1, a plurality of user terminals 100, and a plurality of request source terminals 200 are connected to a network N by wire or wirelessly. The network N is, for example, a network such as the Internet, a WAN (Wide Area Network), or a LAN (Local Area Network).

[0026] The information processing device 1 is a server device that executes an information processing method according to an embodiment. The information processing device 1 extracts questions from news articles that satisfy predetermined conditions, generates answers to the questions based on related articles that are related to the news articles, and provides the questions and answers together with the news articles.

[0027] In addition, the information processing device 1 is an information processing device that cooperates with multiple user terminals 100 and multiple requesting terminals 200, and provides the multiple user terminals 100 and multiple requesting terminals 200 with API (Application Programming Interface) services for various applications (hereinafter referred to as apps), etc., and various data, and is realized by a server device, a cloud system, etc.

[0028] Furthermore, the information processing device 1 may be an information processing device that provides some kind of online web service to a plurality of user terminals 100 and a plurality of request source terminals 200. For example, the information processing device 1 may provide services such as internet connection, search services, SNS (Social Networking Service), electronic commerce (EC), electronic payment, online games, online banking, online trading, hotel and ticket reservations, video and music distribution, news, maps, route search, route guidance, line information, operation information, and weather forecasts as web services. In practice, the information processing device 1 may cooperate with various servers that provide the above-mentioned web services and act as an intermediary for the web services or may be responsible for processing the web services.

[0029] The user terminal 100 is a terminal device carried by a user to whom news articles and associated information are to be distributed. The user terminal 100 may be any type of terminal device, such as a smartphone, a desktop PC, a notebook PC, or a tablet PC. The user terminal 100 transmits various types of information to the information processing device 1 or the like, and receives information provided by the information processing device 1 or the like.

[0030] The requesting terminal 200 is a terminal device owned by a requester who requests distribution of a news article. The requesting terminal 200 can be any type of terminal device, such as a smartphone, a desktop PC, a notebook PC, or a tablet PC. The requesting terminal 200 transmits various types of information to the information processing device 1 or the like, and receives information provided by the information processing device 1 or the like.

[0031] Next, an example of the configuration of the information processing device 1 will be described with reference to FIG.

[0032] Fig. 3 is a diagram showing an example of the configuration of an information processing device 1 according to an embodiment. As shown in Fig. 3, the information processing device 1 has a communication unit 2, a control unit 3, and a storage unit 4. The control unit 3 includes a reception unit 31, an identification unit 32, an extraction unit 33, a generation unit 34, and a provision unit 35. The storage unit 4 stores user information 41 and article information 42.

[0033] The communication unit 2 is realized by, for example, a network interface card (NIC), etc. The communication unit 2 is connected to a network by wire or wirelessly.

[0034] The control unit 3 is a controller, and is realized by a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) executing various programs (corresponding to an example of an information processing program) stored in a storage device inside the information processing device 1 using a RAM or the like as a work area. The control unit 3 is also a controller, and may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a GPGPU (General Purpose Graphic Processing Unit).

[0035] The storage unit 4 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk.

[0036] The user information 41 is information about the user.

[0037] Fig. 4 is a diagram showing an example of the user information 41. As shown in Fig. 4, the user information 41 includes items such as "user ID," "attribute information," and "behavior information."

[0038] "User ID" is identification information that identifies a user. "Attribute information" is information about a user's attributes. Attribute information includes, for example, psychographic attributes and demographic attributes. "Behavioral information" is information about the user's behavior history, and includes the history of various behaviors such as search behavior, purchasing behavior, visiting behavior, news article viewing behavior, and rating behavior on news articles. Rating behavior is, for example, behavior of selecting whether a news article is positive or negative, or behavior of posting a comment on a news article.

[0039] Article information 42 is information about news articles.

[0040] Fig. 5 is a diagram showing an example of the article information 42. As shown in Fig. 5, the article information 42 includes items such as "article ID," "article content," and "Q&A information."

[0041] "Article ID" is identification information that identifies a news article. "Article content" is information about the content of the news article, such as text, image information, and comment information about the news. "Q&A information" is information about questions and answers generated by the control unit 3, which will be described later.

[0042] Next, each function (receiving unit 31, identifying unit 32, extracting unit 33, generating unit 34, and providing unit 35) of the control unit 3 of the information processing device 1 will be described.

[0043] The reception unit 31 receives various types of information. The reception unit 31 receives submissions of news articles from the requesting terminal 50. The reception unit 31 also receives evaluations and comments on the news articles from users who have distributed the news articles.

[0044] The identification unit 32 identifies news articles that satisfy predetermined conditions from among the submitted news articles. For example, if the number of characters in a news article is equal to or greater than a threshold, the identification unit 32 identifies the news article as satisfying the predetermined conditions. Furthermore, if the identification unit 32 receives a low rating from the user who distributed the news article, the identification unit 32 identifies the news article as satisfying the predetermined conditions. The low rating is received, for example, by operating a high rating button or a low rating button located at the end of the news article. In other words, the identification unit 32 identifies news articles that are expected to be difficult for a user to understand (cannot be understood, or require a long time to understand) when reading the news article as satisfying the predetermined conditions. From this perspective, the identification unit 32 may, for example, analyze a news article at the time of submission and identify news articles that lack explanations of technical terms, news articles with insufficient sentence structure (introduction, development, twist, conclusion, subject, predicate, object, etc.), news articles that refer to other news articles (with links, sentences such as ``introduced in a past article'' or ``an incident that occurred at a meeting on A month B date''), etc. as news articles that meet specified conditions.

[0045] The extraction unit 33 extracts questions from the identified news article. For example, the extraction unit 33 inputs a prompt to the generation AI along with the news article, instructing it to extract questions, and sets the questions output from the generation AI as the extraction result. The extraction unit 33 also performs natural language processing on the news article to extract insufficiently explained technical terms, poorly structured sentences, and the like as questions. Furthermore, when a news article contains information that references another news article (a link, a sentence such as "introduced in a past article" or "an incident that occurred at a meeting on A month B"), the extraction unit 33 extracts the information as a question.

[0046] The extraction unit 33 is not limited to extracting questions from the content of a news article, but may also extract questions based on comments posted by users on the news article. For example, when the comments include a comment such as "I don't understand the part AA in the article" or an explanatory comment or supplementary comment regarding part of the content of the article, the extraction unit 33 extracts the relevant part in the article as a question.

[0047] The generation unit 34 generates an answer to the question based on related articles related to the identified news article. First, the generation unit 34 identifies related articles related to the news article. For example, the generation unit 34 identifies news articles that mention the same event as the event mentioned in the news article as related articles. Note that the event may be, for example, an event indicating a category such as sports, politics, finance, or events, or an event indicating a unique occurrence such as a job hunting event held at AA on month A and day B. There may be one or more related articles.

[0048] Note that related articles are news articles submitted by clients (submitters) whose distribution status of news articles related to the events mentioned in the news article meets predetermined conditions. For example, in the case of news articles related to politics, the generation unit 34 identifies as related articles news articles submitted by submitters who submit news articles related to politics at a predetermined rate or more. Also, related articles are, for example, news articles distributed (submitted) within a predetermined period before or after the timing of distribution (submission) of the news article. Also, related articles are news articles submitted by submitters whose news articles are highly reliable. For example, the generation unit 34 identifies as related articles news articles submitted by submitters with few (or no) reporting histories of news articles distributed in the past, or news articles submitted by submitters who have received high ratings (pressing the above-mentioned high rating button) for news articles distributed in the past.

[0049] The generation unit 34 also inputs a prompt to the generation AI along with the question and related articles, instructing it to generate an answer, and the answer output from the generation AI is the generated result. The generation unit 34 may also generate an answer to the question based on the results of natural language processing of the related articles. Note that when multiple answers with different meanings are generated from multiple related articles for one question, the generation unit 34 may provide all of the multiple answers to the user as the generated result.

[0050] Furthermore, the generation unit 34 is not limited to generating answers from the content of related articles. It may also generate answers based on comments posted by users on related articles. For example, the generation unit 34 generates answers to questions based on the results of natural language processing of the comments. Furthermore, the generation unit 34 may generate answers by performing natural language processing on only explanatory comments and supplementary comments among the comments.

[0051] The providing unit 35 provides Q&A content indicating questions and answers to the user terminal 100 together with news articles.

[0052] For example, as shown in Fig. 1, the providing unit 35 displays the QA content C2 alongside the news article C1 on the user terminal 100. Specifically, the providing unit 35 displays the QA content C2 alongside the top (first part) of the news article C1. This allows the user to check the QA content C2 before reading the news article.

[0053] The providing unit 35 may also narrow down the users to whom the QA content is provided. For example, the providing unit 35 provides the QA content to users whose browsing history of news articles related to the event mentioned in the news article satisfies a predetermined condition. For example, the providing unit 35 provides the QA content to users whose number of views of news articles related to the event is equal to or exceeds a threshold. Alternatively, the providing unit 35 provides the QA content to users who, immediately before viewing the news article, viewed a news article related to the same event as the news article.

[0054] Next, a processing procedure of the processing executed by the information processing device 1 according to the embodiment will be described with reference to Fig. 6. Fig. 6 is a flowchart showing the processing procedure of the processing executed by the information processing device 1 according to the embodiment.

[0055] As shown in FIG. 6, the control unit 3 first identifies news articles that satisfy predetermined conditions from among the news articles submitted from the requesting terminal 200 (step S101).

[0056] Next, the control unit 3 extracts questions from the identified news article (step S102).

[0057] Next, the control unit 3 generates an answer to the question based on related articles related to the news article (step S103).

[0058] Next, the control unit 3 provides the question and answer together with the news article to the user terminal 100 (step S104), and the process ends.

[0059] 〔others〕 Furthermore, among the processes described in the above embodiments, some of the processes described as being performed automatically can also be performed manually. Alternatively, all or some of the processes described as being performed manually can be performed automatically using known methods. 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.

[0060] 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.

[0061] 3 may be held in a storage server or the like, rather than being held by each device. In this case, each device obtains various pieces of information by accessing the storage server.

[0062] [Hardware configuration] The information processing device 1 according to the embodiment described above is realized by, for example, a computer 1000 configured as shown in Fig. 6. Fig. 6 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to an output device 1010 and an input device 1020, and has a configuration in which a calculation device 1030, a primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected via a bus 1090.

[0063] The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The primary storage device 1040 is a memory device, such as a RAM, that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used by the arithmetic device 1030 for various calculations and various databases are registered, and is realized by a ROM (Read Only Memory), an HDD (Hard Disk Drive), a flash memory, or the like.

[0064] The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various types of information, such as a monitor or a printer, and is realized by a connector conforming to a standard such as USB (Universal Serial Bus), DVI (Digital Visual Interface), or HDMI (High Definition Multimedia Interface), etc. The input IF 1070 is an interface for receiving information from various input devices 1020, such as a mouse, keyboard, scanner, etc., and is realized by a USB, etc.

[0065] The input device 1020 may be a device that reads information from, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), or a PD (Phase Change Rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. The input device 1020 may also be an external storage medium such as a USB memory.

[0066] The network IF 1080 receives data from other devices via the network N and sends it to the arithmetic device 1030, and also transmits data generated by the arithmetic device 1030 to other devices via the network N.

[0067] The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040 and executes the loaded program.

[0068] For example, when the computer 1000 functions as the information processing device 1, the arithmetic unit 1030 of the computer 1000 executes a program loaded onto the primary storage device 1040, thereby realizing the functions of the control unit 3.

[0069] 〔effect〕 As described above, the information processing device 1 according to the embodiment includes an extraction unit 33 that extracts questions from news articles that satisfy predetermined conditions, a generation unit 34 that generates answers to the questions based on related articles related to the news articles, and a provision unit 35 that provides the questions and answers together with the news articles.

[0070] This configuration allows the user to efficiently understand the contents of the news article.

[0071] 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 undergone various modifications and improvements based on the knowledge of those skilled in the art.

[0072] 〔others〕 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 known methods. 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.

[0073] 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.

[0074] Furthermore, the processes described in the above-described embodiments can be combined as appropriate within the scope of not causing any contradiction in the process contents.

[0075] Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit," etc. For example, the control unit 3 can be read as control means or a control circuit. [Explanation of symbols]

[0076] 1. Information processing equipment 2. Communications Department 3. Control Unit 4 Storage section 31 Reception 32 Specific part 33 Extraction part 34 Generation part 35 Provision Department 41 User Information 42 Article Information 50 Requesting terminal 100 user terminals 200 Requesting device S Information Processing System

Claims

1. an extraction unit that extracts questions from news articles that satisfy predetermined conditions; a generator for generating an answer to the question based on related articles related to the news article; a providing unit that provides the questions and the answers together with the news articles; An information processing device comprising:

2. The extraction unit The news article having a number of characters equal to or greater than a threshold is determined to satisfy the predetermined condition, and the question is extracted. The information processing device according to claim 1 .

3. The extraction unit The news article that has received a low rating from the user who distributed the news article is considered to satisfy the predetermined condition, and the question is extracted. The information processing device according to claim 1 .

4. The extraction unit A prompt instructing extraction of the question is input to the generation AI together with the news article, and the question output from the generation AI is used as the extraction result. The information processing device according to claim 1 .

5. The generation unit A prompt instructing the generation of the answer is input to the generation AI together with the question and the related article, and the answer output from the generation AI is the generated result. The information processing device according to claim 1 .

6. The generation unit The answer is generated based on the related articles distributed within a predetermined period from the timing when the news article from which the question was extracted was distributed. The information processing device according to claim 1 .

7. The news article includes the article content and user comments on the article content; The extraction unit Extracting the questions from the article content and the comments The information processing device according to claim 1 .

8. The related articles include article contents and user comments on the article contents, The generation unit Generate the answer based on the article content and the comments The information processing device according to claim 1 .

9. The related article is: The news article is a news article submitted by a client whose distribution status regarding the event mentioned in the news article satisfies a predetermined condition. The information processing device according to claim 1 .

10. The providing unit Providing the question and the answer to a user whose browsing history of news articles relating to the events mentioned in the news articles corresponding to the question and the answer satisfies a predetermined condition. The information processing device according to claim 1 .

11. 1. A computer-implemented information processing method, comprising: an extraction step of extracting questions from news articles that satisfy predetermined conditions; generating an answer to the question based on related articles associated with the news article; providing the question and the answer together with the news article; An information processing method including:

12. An extraction procedure for extracting questions from news articles that satisfy predetermined conditions; a generation step of generating an answer to the question based on related articles associated with the news article; providing the question and the answer together with the news article; An information processing program that causes a computer to execute the above.

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