International Journal of Mathematics and Computational Science
Articles Information
International Journal of Mathematics and Computational Science, Vol.1, No.4, Aug. 2015, Pub. Date: May 28, 2015
Statistical Methods of Virtual Community Users Age Verification
Pages: 174-182 Views: 1593 Downloads: 680
[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
[01] Fedushko S., et al. (2013) The verification of virtual community user's socio-demographic characteristics profile, Advanced Computing: An International Journal (ACIJ), vol.4, No.3:29-38.
[02] Syerov Yu., et al. (2013) The computer-linguistic analysis of socio-demographic profile of virtual community user, International Journal of Computer Science and Business Informatics (IJCSBI), vol. 4, No 1, 1-13.
[03] Smirnov F. (2006) Art of communication on the Internet. Quick guide. - Williams, 240.
[04] Arinze B., et al. (2002) Some Antecedents and Effects of Trust in Virtual Communities. Journal of Strategic Information Systems, vol.11, 271–95.
[05] Schiano D., et al. (2002) Teen use of messaging media. Proceedings of the ACM Conference on Human Factors in Computing Systems, Minneapolis, NY: ACM Press, 594-595.
[06] Subramanyam K., et al. (2002) The impact of computer use on children's and adolescents' development, Westport, CT: Praeger, 7-30.
[07] Rubio D., Berg-Weger M., Tebb S., Lee E.& Rauch S. (2003) Objectifying content validity: Conducting a content validity study in social work. Social Work Research, 27, 94-104.
[08] Bodnar R. (2004) Sociocultural factors of the teenager sociolect formation. Current studies of foreign languages: Proc. Science. articles, Issue. 2, 142-147.
[09] Bodnar R. (2004) Sociolect of adolescents as an object of linguistics research. Linguistic and conceptual world view: Proc. Science. works. - K. KNU. - № 10. - P.45-50.
[10] Huffaker D. (2004) The educated blogger: Using weblogs to promote literacy in the classroom, 9(6). Available from:
[11] Herring S., et al., Women and children last: The discursive construction of weblogs. Into the Blogosphere: Rhetoric, Community, and Culture of Weblogs. Available at:
[12] Calvert S. (2002) Children in the digital age: Influences of electronic media on development. Westport, CT: Praege, 3-33.
[13] Calvert S., et al. (2002) Identity construction on the internet". Children in the Digital Age: Influences of Electronic Media on Development: Praeger, Westport, CT, 57-70.
[14] Crystal D. (2001) Language and the Internet". Cambridge: Camb. University Press.
[15] Damer B. (2003) Avatars: Exploring and Building Virtual Worlds on the Internet. Longman. Peachpit Press.
[16] Witmer D., et al. (2014) Smile When You Say That: Graphic Accents as Gender Markers in Computer-Mediated Communication, CA: Menlo Park.
[17] Wolf A. (2000) Emotional expression online: Gender differences in emoticon use. CyberPsychology & Behavior, vol.3 (5), 827-833.
[18] Dzyubyshyna-Melnyk N. (2002) Modern slang and modern spoken speech. Scientific notes "KMA", Science, Kyiv, 58-62.
[19] Aksak V. (2006) Communication in the Internet. Certain as two and two, Eksmo.
[20] Virtual Community "Lviv. Forum Ridne Misto". [Internet]. Available from:
[21] Web Forum Western rock portal – "Rock.Lviv.Ua". [Internet]. Available from:
[22] Serhyeyenkova O., et al. (2012) Developmental Psychology, K. TSUL, 384.
[23] Hill T., et al. (2007) Statistics methods and applications, StatSoft, Tulsa, OK.
[24] Bureeva N. (2007) Multivariate statistical analysis using PPP "STATISTICA". Training method. material, 112.
[25] Byuyul A., et al. (2002) SPSS: art of information processing. Analysis of statistical data and restore hidden patterns, St. Petersburg. LLC "DiaSoftYuP", 346-367.
[26] Fedushko S. (2014) Development of software for computer-linguistic verification of socio-demographic profile of web-community user. Webology, 11(2), 126. Available at:
[27] Korzh R., Peleschyshyn A., Syerov Y. & Fedushko S. (2014) The cataloging of virtual communities of educational thematic. Webology, 11(1), Article 117. Available at:
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