Large-Scale Analysis of Self-Disclosure Patterns among Online Social Networks Users: A Russian Context

Kisilevich, Slava and Ang, Chee Siang and Last, Mark (2011) Large-Scale Analysis of Self-Disclosure Patterns among Online Social Networks Users: A Russian Context. Knowledge and Information Systems, 32 (3). pp. 609-628. ISSN 0219-3116. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not available from this repository. (Contact us about this Publication)
Official URL


Online social network services (SNS) provide an unprecedented rich source of information about millions of users worldwide. However, most existing studies of this emerging phenomenon are limited to relatively small data samples, with an emphasis on mostly “western” online communities (such as Facebook and MySpace users in Western countries). To understand the cultural characteristics of users of online social networks, this paper explores the behavioral patterns of more than 16 million users of a popular social network in the Russian segment of the Internet, namely, My.Mail.Ru (also known as “My World” or “Moj Mir” in Russian). Our main goal is to study the self-disclosure patterns of the site users as a function of their age and gender.We compare the findings of our analysis to the previous studies on Western users of SNS and discuss the culturally distinctive aspects. Our study highlights some important cultural differences in usage patterns among Russian users, which call for further studies in SNS in various cultural contexts.

Item Type: Article
Uncontrolled keywords: Age differences · Correspondence analysis · Cultural differences · Clustering · Gender differences · Information disclosure · Multidimensional scaling · Self-disclosure · Social networking sites
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: J. Harries
Date Deposited: 20 Aug 2012 14:07
Last Modified: 28 May 2014 09:42
Resource URI: (The current URI for this page, for reference purposes)
  • Depositors only (login required):