[01] Solomia Fedushko, Institute of Humanities and Social Sciences, Social Communications and Information Activities Department, Lviv Polytechnic National University, Lviv, Ukraine. [02] Halyna Biluschak, Institute of Applied Mathematics and Fundamental Sciences, Higher Mathematics Department, Lviv Polytechnic National University, Lviv, Ukraine. [03] Yuriy Syerov, Institute of Humanities and Social Sciences, Social Communications and Information Activities Department, Lviv Polytechnic National University, Lviv, Ukraine.

In the article the statistical methods of web-users age verification are investigated and developed by mean of computer-linguistic analysis of virtual community user’s information tracks. The issue of personal data verification of virtual community user’s accounts is important to web-community administrators. The aim of this method is substantially effects on the efficiency of virtual communities functioning and improving the registration and moderating processes in the virtual community. The set of age indicative features of virtual community users is formed for the age verification of web-users. The age indicative characteristics based on the socio-demographic markers set up by experts. Statistical methods in the learning sample of virtual community users of two Ukrainian web-forums (Lviv. Forum Ridne Misto and Rock.Lviv.Ua) are presented. The computer-linguistic method of socio-demographic characteristics age-validation in social communications is developed.

Socio-demographic Marker, Account, Statistical Method, Virtual community, Data Verification

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