Paper Info
Title
Personality traits, usage patterns and information disclosure in online communities
Abstract
Online communities of different types have become an important part of the daily internet life of many people within the last couple of years. Both research and business have shown interest in studying the possibilities and risks related to these relatively new phenomena. Frequently discussed aspects that are tightly bound to online communities are their implications and effects on privacy issues. Available literature has shown that users generally disclose very much (private) information on such communities, and different factors influencing this behaviour were identified and studied. However, the influence and predictive power of personality traits on information disclosure in online communities has not yet been the subject of analysis. In this paper we report the results of an online survey investigating the relations between personality traits (based on the Fife-Factor Model), usage patterns and information disclosure of participants in different types of online communities.
Year
DOI
Venue
2009
10.14236/ewic/hci2009.19
BCS HCI
Keywords
Field
DocType
information disclosure,different factor,daily internet life,online community,available literature,online survey,fife-factor model,personality trait,different type,usage pattern,important part,privacy
Social psychology,Big Five personality traits,Predictive power,Online participation,Psychology,The Internet
Conference
Citations 
PageRank 
References 
17
2.06
30
Authors
3
Name
Order
Citations
PageRank
Johann Schrammel122022.85
Christina Köffel2474.36
Manfred Tscheligi32567570.72