Difference between revisions of "Kim et al 2007"
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| − | Here in this paper, the authors plotted the relevance criteria distribution either by [[question types]] or by [[subject categories]] to suggest 1) within each question type, which category of selection criteria does people care most; 2) within each subject, what category of criteria does people emphasize. The authors present the [[ | + | Here in this paper, the authors plotted the relevance criteria distribution either by [[question types]] or by [[subject categories]] to suggest 1) within each question type, which category of selection criteria does people care most; 2) within each subject, what category of criteria does people emphasize. The authors present the results [[here]]. |
== Related Papers == | == Related Papers == | ||
Revision as of 16:49, 29 March 2011
This is a Paper I read in 10802 social media analysis.
Citation
Best-Answer Selection Criteria in a Social Q&A site from the UserOriented Relevance Perspective Soojung Kim, Jung Sun Oh, Sanghee Oh, ASIST 2007
Problem
In this paper, the authors analyze how people evaluate information in a social Q&A environment using content analysis.
Summary
The authors proposed seven value categories to map the best-answer selection criteria by using inductive content analysis. The categories are: 1) content value; 2) cognitive value; 3)socio-emotional value; 4) information source value; 5) extrinsic value; 6) utility and 7) general statement. Among these seven types of categories, the authors found that socio-emotional value was particularly prominent especially when people ask for opinions and suggestions.
Dataset
In this paper, the authors used Yahoo!Answer as their data.
Analysis
Here in this paper, the authors plotted the relevance criteria distribution either by question types or by subject categories to suggest 1) within each question type, which category of selection criteria does people care most; 2) within each subject, what category of criteria does people emphasize. The authors present the results here.
Related Papers
[1] K. Krippendorf(2004). Content analysis: An introduction to its methodology.
[2] E. Wenzel(2006). Dropping knowledge: question-and-answer sites.
