Where to ask and how to ask? the case of community question answering sites

Alton Y.K. Chua*, Snehasish Banerjee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of 2014 Science and Information Conference, SAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages888-895
Number of pages8
ISBN (Electronic)9780989319317
DOIs
Publication statusPublished - Oct 7 2014
Externally publishedYes
Event2014 Science and Information Conference, SAI 2014 - London, United Kingdom
Duration: Aug 27 2014Aug 29 2014

Publication series

NameProceedings of 2014 Science and Information Conference, SAI 2014

Conference

Conference2014 Science and Information Conference, SAI 2014
Country/TerritoryUnited Kingdom
CityLondon
Period8/27/148/29/14

Bibliographical note

Publisher Copyright:
© 2014 The Science and Information (SAI) Organization.

ASJC Scopus Subject Areas

  • Information Systems

Keywords

  • answer promptness
  • answer quality
  • community question answering sites
  • web-based collaborative learning

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