Question Quality in Community Question Answering Forums: a survey

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.

[1]  Dewayne E. Perry,et al.  Toward understanding the causes of unanswered questions in software information sites: a case study of stack overflow , 2013, ESEC/FSE 2013.

[2]  R. Armstrong The Long Tail: Why the Future of Business Is Selling Less of More , 2008 .

[3]  Michele Lanza,et al.  Understanding and Classifying the Quality of Technical Forum Questions , 2014, 2014 14th International Conference on Quality Software.

[4]  Danyel Fisher,et al.  Visualizing the Signatures of Social Roles in Online Discussion Groups , 2007, J. Soc. Struct..

[5]  Lada A. Adamic,et al.  Knowledge sharing and yahoo answers: everyone knows something , 2008, WWW.

[6]  Frank Maurer,et al.  What makes a good code example?: A study of programming Q&A in StackOverflow , 2012, 2012 28th IEEE International Conference on Software Maintenance (ICSM).

[7]  W. Bruce Croft,et al.  A framework to predict the quality of answers with non-textual features , 2006, SIGIR.

[8]  Lena Mamykina,et al.  Design lessons from the fastest q&a site in the west , 2011, CHI.

[9]  Michael R. Lyu,et al.  Analyzing and predicting question quality in community question answering services , 2012, WWW.

[10]  Christoph Treude,et al.  How do programmers ask and answer questions on the web?: NIER track , 2011, 2011 33rd International Conference on Software Engineering (ICSE).

[11]  Yair Movshovitz-Attias,et al.  Analysis of the reputation system and user contributions on a question answering website: StackOverflow , 2013, 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013).

[12]  Chanchal Kumar Roy,et al.  Answering questions about unanswered questions of Stack Overflow , 2013, 2013 10th Working Conference on Mining Software Repositories (MSR).

[13]  Sarah A. Webster,et al.  Learning to be a better q'er in social Q&A sites: Social norms and information artifacts , 2013, ASIST.

[14]  Thomas D. LaToza,et al.  Hard-to-answer questions about code , 2010, PLATEAU '10.

[15]  Idan Szpektor,et al.  Learning from the past: answering new questions with past answers , 2012, WWW.

[16]  Michael I. Jordan,et al.  Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..

[17]  Ee-Peng Lim,et al.  Quality-aware collaborative question answering: methods and evaluation , 2009, WSDM '09.

[18]  David M. Blei,et al.  Supervised Topic Models , 2007, NIPS.

[19]  Kai H. Lim,et al.  Drivers Of Knowledge Contribution Quality And Quantity In Online Question And Answering Communities , 2011, PACIS.

[20]  F. Maxwell Harper,et al.  Exploring Question Selection Bias to Identify Experts and Potential Experts in Community Question Answering , 2012, TOIS.

[21]  Yong Yu,et al.  Analyzing and Predicting Not-Answered Questions in Community-based Question Answering Services , 2011, AAAI.

[22]  Gilad Mishne,et al.  Finding high-quality content in social media , 2008, WSDM '08.

[23]  David Lo,et al.  An empirical study on developer interactions in StackOverflow , 2013, SAC '13.

[24]  Ashish Sureka,et al.  Chaff from the wheat: characterization and modeling of deleted questions on stack overflow , 2014, WWW.

[25]  Ashish Sureka,et al.  Fit or unfit: analysis and prediction of 'closed questions' on stack overflow , 2013, COSN '13.

[26]  Jure Leskovec,et al.  Discovering value from community activity on focused question answering sites: a case study of stack overflow , 2012, KDD.