Abstract
The purpose of this study is to examine the predictors of high-quality answers in a community-driven question answering service (Yahoo! Answers). The results of the analysis showed the importance of content appraisal features over social and textual content features. The features identified as strongly associated with high-quality answers include positive votes, completeness, presentation, reliability and accuracy. Features weakly associated with high-quality answers were high frequency words, answer length, and best answers answered. Features related to the asker's user history were found not to be associated with high-quality answers.
Original language | English |
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Pages (from-to) | 383-400 |
Number of pages | 18 |
Journal | Online Information Review |
Volume | 36 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |