Difference between revisions of "Kim et al 2007"
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== Summary == | == Summary == | ||
| − | The authors proposed seven value categories to map the best-answer selection criteria by using [[UsesMethod::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. | + | The authors proposed seven value categories to map the best-answer selection criteria by using [[UsesMethod::inductive content analysis]]. The categories are: 1) content value; 2) cognitive value; 3)[http://en.wikipedia.org/wiki/Socioemotional_selectivity_theory 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. | Among these seven types of categories, the authors found that socio-emotional value was particularly prominent especially when people ask for opinions and suggestions. | ||
Latest revision as of 20:04, 31 March 2011
Citation
Soojung Kim, Jung Sun Oh, Sanghee Oh, Best-Answer Selection Criteria in a Social Q&A site from the UserOriented Relevance Perspective, ASIST 2007
Online Version
You can find the paper [1]
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.
