Predictors of high-quality answers

Blooma JOHN, Dion Goh, Alton Chua

Research output: Contribution to journalArticle

28 Citations (Scopus)

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 languageEnglish
Pages (from-to)383-400
Number of pages18
JournalOnline Information Review
Volume36
Issue number3
DOIs
Publication statusPublished - 2012
Externally publishedYes

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