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

Is it really about me?: message content in social awareness streams,10.1145/1718918.1718953,Mor Naaman,Jeffrey Boase,Chih-Hui Lai

Is it really about me?: message content in social awareness streams   (Citations: 35)
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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.
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    • ... 2010) of their contacts' tweets and status updates...

    Axel Mairederet al. A MOVEMENT OF CONNECTED INDIVIDUALS

    • ...As these services are shifting the social and communication infrastructure of our society, having proper tools and techniques to study these platforms becomes ever more critical for understanding social activities (Naaman, Boase, & Lai, 2010), public opinion (Bennett & Iyengar, 2008; Castells, 2008) political action (Parsons, 2010; Siegel, 2009), and more...

    Charles Fileet al. InfoExtractor—A Tool for Social Media Data Mining

    • ...It is commonly understood that the frequency of discussion about events on social media does not directly reflect the true frequency of event occurrence in the real-world, but instead is a complex function of individual experience combined with what each individual believes would interest their friends or followers (Java et al. 2007; Naaman, Boase and Lai 2010).,Population segments: In their study, Naaman, Boase and Lai (2010) found that some Twitter users (“meformers”) are significantly more likely to tweet about mundane activities and events, as compared to others (i.e., “informers”)...

    Emre Kıcıman. OMG, I have to Tweet that! A Study of Factors that Influence Tweet Rat...

    • ...Zhao and Rosson 0 found people use Twitter for “gathering useful information for one’s profession or other personal interests,” and “seeking for help and opinions,” and Naaman et al. [21] found that questions to followers made up about 5% of posts that they manually coded...

    Jaime Teevanet al. #TwitterSearch: a comparison of microblog search and web search

    • ...Naaman et al. analyzed contents of messages from more than 350 Twitter users and manually classified messages into nine categories [8]...

    Makoto Okazakiet al. Semantic Twitter: Analyzing Tweets for Real-Time Event Notification

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