Difference between revisions of "Is it Really About Me? Message Content in Social Awareness Streams"

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== Summary ==
 
== Summary ==
  
This [[Category::paper]] uses quantitative (statistical) methods to analyze the Twitter use postings in a qualitative manner. The authors used human coders to categorize the Twitter user feeds into 9 categories, and answered the research questions such as: what are the most common message types of Twitter user? What these type of messages say about the user him/herself?
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This [[Category::paper]] uses quantitative (statistical) methods to analyze the Twitter use postings in a qualitative manner. The authors used human coders to categorize the Twitter user feeds into 9 categories, and answered the research questions such as: what are the most common message types of Twitter user? What these type of messages say about the user him/herself? How are these differences in users' content practices related to other user characteristics?

Revision as of 22:24, 5 November 2012

Citation

Mor Naaman, Jeffrey Boase, and Chih-Hui Lai. Is it Really About Me? Message Content in Social Awareness Streams.

Online version

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Summary

This paper uses quantitative (statistical) methods to analyze the Twitter use postings in a qualitative manner. The authors used human coders to categorize the Twitter user feeds into 9 categories, and answered the research questions such as: what are the most common message types of Twitter user? What these type of messages say about the user him/herself? How are these differences in users' content practices related to other user characteristics?