Development of verification system of socio-demographic data of virtual community member
This addresses the need for reliable user data verification in web-communities administration, but it appears incremental as it builds on existing computer-linguistic methods.
The paper tackled the problem of verifying socio-demographic data of virtual community members by developing a system based on computer-linguistic analysis of their information tracks, achieving a false result rate of 18%.
The important task of developing verification system of data of virtual community member on the basis of computer-linguistic analysis of the content of a large sample of Ukrainian virtual communities is solved. The subject of research is methods and tools for verification of web-members socio-demographic characteristics based on computer-linguistic analysis of their communicative interaction results. The aim of paper is to verifying web-user personal data on the basis of computer-linguistic analysis of web-members information tracks. The structure of verification software for web-user profile is designed for a practical implementation of assigned tasks. The method of personal data verification of web-members by analyzing information track of virtual community member is conducted. For the first time the method for checking the authenticity of web members personal data, which helped to design of verification tool for socio-demographic characteristics of web-member is developed. The verification system of data of web-members, which forms the verified socio-demographic profiles of web-members, is developed as a result of conducted experiments. Also the user interface of the developed verification system web-members data is presented. Effectiveness and efficiency of use of the developed methods and means for solving tasks in web-communities administration is proved by their approbation. The number of false results of verification system is 18%.