Information quality measuring device, information quality measuring method and program

Abstract

Provided is an information quality measurement device comprising a collection unit that collects a plurality of sets of second content citing first content, and a measurement unit that measures the quality of information of the first content on the basis of evaluations of the plurality of sets of second content, to thereby reinforce resistance to an illegal operation for measurement of the information quality of content.

Description

[Technical field]

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

[0002] As a method for measuring the quality of information of a certain content, for example, there is a method for measuring the quality based on the number of unique users who viewed the content (number of viewing users). There is also a method for measuring the quality based on the number of unique users who bookmarked the content (number of bookmarks). Still further, there is a method for measuring the quality based on the evaluation (e.g., "likes") given to the content. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 5848199 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the number of views, the number of bookmarks, and the evaluation of the content can be easily manipulated by the content sender. For example, the content sender can pose as a large number of individual users to inflate the number of views or the number of bookmarks, or to input evaluation values.

[0005] In addition, the basic figures used to measure the above quality are highly susceptible to the influence of the number of people who regularly and continuously pay attention to the sender of the content (for example, the number of followers), and so there are issues regarding the validity of simply using these figures as a reference method for measuring quality.

[0006] The present invention has been made in view of the above-mentioned points, and has an object to enhance resistance to tampering in the measurement of information quality of content. [Means for solving the problem]

[0007] In order to solve the above problem, the information quality measuring device includes a collection unit that collects a plurality of second contents that quote a first content, and a Among the plurality of second contents, a third content is identified in which the evaluation value of the second content is equal to or greater than a threshold, an index value indicating the uniqueness of the users who evaluated the second content is equal to or greater than a threshold, and a ratio of the number of users who evaluated the second content to an estimated value of the number of views of the second content is equal to or greater than a threshold, and a ratio of the third content among the plurality of second contents is calculated. The quality of information of the first content The value shown is A measurement unit. Effect of the Invention

[0008] The measurement of the information quality of the content can be made more resistant to manipulation. [Brief description of the drawings]

[0009] [Figure 1] 1 is a diagram illustrating an example of a hardware configuration of an information quality measuring device 10 according to an embodiment of the present invention. [Diagram 2] 1 is a diagram illustrating an example of a functional configuration of an information quality measuring device 10 according to an embodiment of the present invention. [Diagram 3] FIG. 2 is a diagram showing an example of the configuration of a posting database 14. [Figure 4] 10 is a flowchart illustrating an example of a processing procedure executed by an information quality measuring unit 12. [Diagram 5] FIG. 2 is a diagram showing an example of the configuration of an information quality recording database 15. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Fig. 1 is a diagram showing an example of a hardware configuration of an information quality measuring device 10 in an embodiment of the present invention. The information quality measuring device 10 in Fig. 1 has a drive device 100, an auxiliary storage device 102, a memory device 103, a CPU 104, an interface device 105, etc., which are mutually connected by a bus B.

[0011] A program for realizing the processing in the information quality measuring device 10 is provided by a recording medium 101 such as a CD-ROM. When the recording medium 101 storing the program is set in the drive device 100, the program is installed from the recording medium 101 via the drive device 100 into the auxiliary storage device 102. However, the program does not necessarily have to be installed from the recording medium 101, but may be downloaded from another computer via a network. The auxiliary storage device 102 stores the installed program as well as necessary files, data, etc.

[0012] When an instruction to start a program is received, the memory device 103 reads out the program from the auxiliary storage device 102 and stores it. The CPU 104 executes functions related to the information quality measuring device 10 in accordance with the program stored in the memory device 103. The interface device 105 is used as an interface for connecting to a network.

[0013] Fig. 2 is a diagram showing an example of a functional configuration of an information quality measuring device 10 in an embodiment of the present invention. In Fig. 2, the information quality measuring device 10 has a post collection unit 11, an information quality measurement unit 12, and an information quality response unit 13. Each of these units is realized by a process in which one or more programs installed in the information quality measuring device 10 are executed by the CPU 104. The information quality measuring device 10 also uses databases (storage units) such as a post database 14 and an information quality record database 15. Each of these databases can be realized by using, for example, an auxiliary storage device 102, or a storage device connectable to the information quality measuring device 10 via a network.

[0014] The post collection unit 11 collects a plurality of posts (hereinafter referred to as "quoted posts") that quote other posts (hereinafter referred to as "cited posts") from among posts published on an online social networking service (SNS), formats the collected results into a format conforming to the post database 14, and records the formatted post contents in the post database 14. Fig. 3 is a diagram showing an example of the configuration of post database 14. In Fig. 3, the configuration of post database 14 is shown divided into two tables. The second table is a set of columns that continues from the first table.

[0015] 3, the post database 14 includes a record for each quoted post. Each record includes a UID, a user name, a quoted URL, the post content, a rating value, the number of favorite users, the number of favorited users, a list of users who have given a rating value, and the like.

[0016] The UID is the UID (Unique Identifier) ​​of the quoted post. A URI (Uniform Resource Identifier) ​​may be used instead of a UID. The username is the account name of the poster of the quoted post. The quoted URL is the URL of the cited post that is cited by the quoted post. The quoted URL is included in the quoted post. The post content is the content of the quoted post. The rating value is a number (e.g., the number of "likes") indicating the online rating of the quoted post. The number of favorite users is the number of other users who are favorited by the poster of the quoted post (e.g., who are followed by the poster). The number of favorited users is the number of other users who like the poster (are interested in the poster (e.g., who follow the poster)). The list of users who assigned a rating value is a list of usernames of users who assigned a rating value to the quoted post (rated the quoted post).

[0017] The information quality measurement unit 12, for example, aggregates quoted posts for each quoted URL from the post database 14 by performing batch processing once a day (for example, late at night) and measures the quality (information quality) of the quoted posts related to the quoted URL based on the quoted posts related to the quoted URL. The information quality measurement unit 12 records the measurement result in the information quality recording database 15.

[0018] When a user of the information quality measuring device 10 inputs a URL for which the user wants to know the information quality, the information quality response unit 13 outputs a response to the user including the information quality that is associated with the URL and stored in the information quality recording database 15.

[0019] The following describes the processing procedure executed by the information quality measuring unit 12. FIG.

[0020] In step S101, the information quality measurement unit 12 classifies all quoted posts stored in the post database 14 into groups of posts with a common quoted URL. At this time, the quoted URL may be normalized. More specifically, one possible method of normalizing the URL is to delete the query string in the URL. As a result of the above, a group is generated for each quoted URL.

[0021] Next, the information quality measurement unit 12 executes a loop process L1 including steps S102 to S106 for each quoted URL. A quoted URL that is the processing target in the loop process L1 is referred to as a "target quoted URL." Also, a set of quoted posts classified into a group of the target quoted URL is referred to as a "target quoted post set."

[0022] In step S102, the information quality measurement unit 12 assigns a flag A to a quoted post having an evaluation value equal to or greater than a threshold value α, from among the target quoted post set.

[0023] Next, the information quality measurement unit 12 counts up the appearance frequency (appearance frequency in the target quoted post set) of each user name included in the "list of users to whom a rating value has been assigned" of each quoted post included in the target quoted post set (S103).

[0024] Next, the information quality measurement unit 12 calculates an index value indicating the independence (uniqueness) of the "user list to which an evaluation value has been assigned" of each quoted post included in the target quoted post set, and assigns a flag B to quoted posts for which the index value is equal to or greater than a threshold value β (S104). The index value for a certain quoted post may be calculated, for example, by subtracting from 1 the proportion of user names with the top n frequency of appearances tallied in step S103 in the "user list to which an evaluation value has been assigned" of the quoted post.

[0025] In other words, if we assume the existence of users who give ratings with a very high probability to posts that contain the same quoted URL, it is possible that such users give ratings without examining the posts closely, and as a result, we assume that they will end up being among the top n users here. Not including such users in the "list of users who gave ratings" is thought to contribute to increasing independence (specificity).

[0026] Next, the information quality measurement unit 12 calculates the ratio of the list length (the number of user names in the list) of the "list of users who have given an evaluation value" of each quoted post included in the target quoted post set to the "number of favorited users" of the quoted post, and assigns a flag C to quoted posts for which the ratio is equal to or greater than a threshold m% (S105). That is, a flag C is assigned to quoted posts for which the ratio of the number of users who have given an evaluation value to the number of followers of the poster is equal to or greater than a threshold m%. In recent SNSs, since there is a function that allows posts to flow on the timelines of favorited users (≒ followers), it is considered that favorited users view the posts with a high probability, and the degree of evaluation (≒ likes) given to the views can be said to be the quality of information of the post, and therefore the purpose of assigning a flag C to the corresponding quoted post is to assign a flag C to the quoted post. That is, in this embodiment, the "number of favorited users" of a quoted post is treated as an estimated value of the number of views of the quoted post.

[0027] Next, the information quality measurement unit 12 calculates the ratio of quoted posts to which all of the flags A, B, and C are assigned in the target cited post set, and registers the ratio in the information quality recording database 15 in association with the target cited URL (S106). That is, the ratio is registered in the information quality recording database 15 as a value indicating the information quality of the cited post related to the target cited URL.

[0028] Fig. 5 is a diagram showing an example of the configuration of the information quality recording database 15. As shown in Fig. 5, the information quality recording database 15 stores, for each URL (each quoted URL), the information quality of posts related to that URL.

[0029] As described above, according to this embodiment, the information quality of a certain content is evaluated based on the evaluation of other content that quotes the certain content. Here, even if it is easy to perform fraudulent manipulation on the direct evaluation of the certain content (number of views, number of bookmarks, evaluation value), it is considered difficult to perform similar fraudulent manipulation on a large number of contents that quote the certain content. Therefore, according to this embodiment, it is possible to strengthen the resistance to fraudulent manipulation in the measurement of the information quality of the content.

[0030] Another feature of this system is that it makes it possible to measure information quality by taking into account how well the content generated discussion.

[0031] In this embodiment, an example has been described in which posts on SNS are the subject of information quality measurement, but this embodiment is effective for any content that is made public via a network such as the Internet and that may be quoted from other content, regardless of whether it is a post on a specific SNS.

[0032] In the present embodiment, the post collection unit 11 is an example of a collection unit. The information quality measurement unit 12 is an example of a measurement unit. A cited post is an example of a first content. A citing post is an example of a second content.

[0033] Although the embodiment of the present invention has been described in detail above, the present invention is not limited to such specific embodiment, and various modifications and variations are possible within the scope of the gist of the present invention described in the claims. [Explanation of symbols]

[0034] 10 Information quality measurement device 11 Post Collection Department 12 Information Quality Measurement Department 13 Information Quality Response Section 14 Posting Database 15 Information Quality Record Database 100 Drive device 101 Recording media 102 Auxiliary storage device 103 Memory device 104 CPU 105 Interface device B Bus

Claims

1. A collection unit that collects a plurality of second contents that cite the first content; a measurement unit that identifies a third content among the plurality of second contents, the third content having an evaluation value equal to or greater than a threshold, an index value indicating the uniqueness of the users who have evaluated the second content equal to or greater than a threshold, and a ratio of the number of users who have evaluated the second content to an estimated value of the number of views of the second content equal to or greater than a threshold, and sets the ratio of the third content among the plurality of second contents as a value indicating information quality of the first content; 13. An information quality measuring device comprising:

2. a collection step of collecting a plurality of second contents that cite the first content; a measurement step of identifying a third content among the plurality of second contents, the third content having an evaluation value equal to or greater than a threshold, an index value indicating the uniqueness of the users who have evaluated the second content equal to or greater than a threshold, and a ratio of the number of users who have evaluated the second content to an estimated value of the number of views of the second content equal to or greater than a threshold, and determining the ratio of the third content among the plurality of second contents as a value indicating the information quality of the first content; The information quality measurement method is characterized in that the above steps are executed by a computer.

3. 2. A program for causing a computer to function as the information quality measuring device according to claim 1.

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