METHOD AND SYSTEM FOR ACCELERATING DETERMINATION OF RELIABILITY BY CLUSTERING ARGUMENTS AND SUPPORTING EVIDENCE DATA BASED ON CREDIBILITY DISTRIBUTION

摘要

A method and a system for automatically collecting and providing related arguments and supporting evidence data on given information as a technical solution to respond to a social problem such as fake news have been developed. The method and the system suggested until now have used a method for simply arranging related arguments and supporting evidence data on given information or dividing the given information into information corresponding to affirmative/opposite opinions. Accordingly, there have been problems of taking a long time to review the related arguments and supporting evidence data or missing related information that is important when determining reliability although the same is neither an affirmative opinion nor an opposite opinion. In order to solve the above problems, the present invention relates to a method for efficiently clustering and summarizing related arguments and supporting evidence data as determination data for accelerating determination of reliability with respect to specific information to provide the summarized data to a user. The present invention performs automated reliability distribution prediction on the given information by using a reliability distribution concept, automated arguments and supporting evidence data connection, and clustering according to values of the reliability of a plurality of data which is used by an unspecified reader group to justify specific reliability. A procedure of reviewing a plurality of data necessary for determining reliability with respect to given information by a user can be accelerated by outputting and providing predicted reliability distribution and the plurality of data clustered corresponding to the predicted reliability distribution to the user.;COPYRIGHT KIPO 2020