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Question Quality in Community Question Answering Forums: a survey

Authors:

Antoaneta Baltadzhieva,

Grzegorz ChrupałaAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 17, Issue 1

Pages 8 - 13

https://doi.org/10.1145/2830544.2830547

Published: 29 September 2015 Publication History

Abstract

Community Question Answering websites (CQA) offer a new opportunity for users to provide, search and share knowledge. Although the idea of receiving a direct, targeted response to a question sounds very attractive, the quality of the question itself can have an important effect on the likelihood of getting useful answers. High quality questions improve the CQA experience and therefore it is essential for CQA forums to better understand what characterizes questions that are more appealing for the forum community. In this survey, we review existing research on question quality in CQA websites. We discuss the possible measures of question quality and the question features that have been shown to influence question quality.

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Hu JYang B(2024)Posts Quality Prediction for StackOverflow WebsiteIEEE Access10.1109/ACCESS.2024.344087912(135601-135615)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3440879
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Question Quality in Community Question Answering Forums: a survey

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Information & Contributors

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Published In

cover image ACM SIGKDD Explorations Newsletter

ACM SIGKDD Explorations Newsletter Volume 17, Issue 1

June 2015

50 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/2830544

Editors:
Charu Aggarwal
IBM T.J. Watson
,
Haixun Wang
Google
,
Ankur M. Teredesai
University of Washington Tacoma
,
Hanghang Tong
Arizona State University

Issue’s Table of Contents

Copyright © 2015 Authors.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 September 2015

Published in SIGKDD Volume 17, Issue 1

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Hu JYang B(2024)Posts Quality Prediction for StackOverflow WebsiteIEEE Access10.1109/ACCESS.2024.344087912(135601-135615)Online publication date: 2024
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