Development of verification system of socio-demographic data of virtual community member

TL;DR

This paper presents a novel computer-linguistic verification system for socio-demographic data of virtual community members, improving data authenticity checks with an 18% false result rate.

Contribution

It introduces a new method for verifying web-user personal data through analysis of their communication content, along with a practical verification tool.

Findings

Developed a verification system with 18% false verification rate.

Designed a user interface for the verification system.

Proved effectiveness and efficiency in web-community management.

Abstract

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%.