Is it really about me?: message content in social awareness streams

In this work we examine the characteristics of social activity and patterns of communication on Twitter, a prominent example of the emerging class of communication systems we call “social awareness streams.” We use system data and message content from over 350 Twitter users, applying human coding and quantitative analysis to provide a deeper understanding of the activity of individuals on the Twitter network. In particular, we develop a content-based categorization of the type of messages posted by Twitter users, based on which we examine users’ activity. Our analysis shows two common types of user behavior in terms of the content of the posted messages, and exposes differences between users in respect to these activities. Author Keywords Social media, Twitter, communication systems. ACM Classification Keywords H.4.3. Information Systems Applications: Communications Applications. General Terms Human Factors

• Type: Conference
• Year: 2010
• Where: CSCW
• Authors: Mor Naaman, Jeffrey Boase, Chih-Hui Lai
• Keywords: CSCW 2010, Keywords Social Media, Social Sciences, Twitter Network, Twitter Users