DocumentCode
266148
Title
Where to ask and how to ask? The case of community question answering sites
Author
Chua, Alton Y. K. ; Banerjee, Sean
Author_Institution
Wee Kim Wee Sch. of Commun. & Inf., Nanyang Technol. Univ., Singapore, Singapore
fYear
2014
fDate
27-29 Aug. 2014
Firstpage
888
Lastpage
895
Abstract
This paper seeks to investigate how good answers and prompt answers can be obtained from community question answering sites (CQAs) on the basis of (1) where questions are asked, and (2) how questions are asked. To address the question of “Where to ask?”, six popular CQAs were investigated. They include three English sites, namely, Yahoo! Answers, WikiAnswers, and Answerbag, as well as three Chinese sites, namely, Baidu Knows, Tencent Soso Wenwen, and Sina iAsk. On the other hand, to address the question of “How to ask?”, five types of questions commonly posted in CQAs were identified, namely, factoid, list, definition, complex interactive, and target. The results are as follows: (1) In terms of “Where to ask?”, Yahoo! Answers, Answerbag, and Tencent Soso Wenwen were found likely to attract good quality answers promptly. (2) In terms of “How to ask?”, definition, and complex interactive question types were found likely to receive good quality answers promptly. The implications of the findings are discussed.
Keywords
Internet; information retrieval; Answerbag; Baidu Knows; CQA; Chinese sites; English sites; Sina iAsk; Tencent Soso Wenwen; WikiAnswers; Yahoo! Answers; community question answering sites; interactive question types; prompt answers; quality answers; Analysis of variance; Collaborative work; Communities; Data collection; Internet; Knowledge discovery; System-on-chip; answer promptness; answer quality; community question answering sites; web-based collaborative learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Information Conference (SAI), 2014
Conference_Location
London
Print_ISBN
978-0-9893-1933-1
Type
conf
DOI
10.1109/SAI.2014.6918291
Filename
6918291
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