Output details
15 - General Engineering
University of Kent
Article title
Large-Scale Analysis of Self-Disclosure Patterns among Online Social Networks Users: A Russian Context
Type
D - Journal article
Title of journal
Knowledge and Information Systems
Article number
-
Volume number
32
Issue number
3
First page of article
609
ISSN of journal
0219-3116
Year of publication
2011
URL
-
Number of additional authors
2
Additional information
This pioneering study investigated issues of self disclosure and privacy in large-scale online social networking. Twenty million user profiles were collected and analysed, showing how users across different demographics managed personal data in an online environment. This work was an international collaboration involving researchers from Germany and Israel and has led to collaboration with Roke Manor Research Ltd (Mike Hook, Principal Project Consultant, mike.hook@roke.co.uk), which resulted in a DSTL research grant (Ref: CDE24948) looking into cyberinfluence, demonstrating the wider implications for cyber security.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
3 - Image and information engineering
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
