TY - GEN
T1 - Is It good to be like wikipedia?
T2 - 18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015
AU - Li, Guo
AU - Zhu, Haiyi
AU - Lu, Tun
AU - Ding, Xianghua
AU - Gu, Ning
PY - 2015/2/28
Y1 - 2015/2/28
N2 - Online question and answer (Q&A) sites, which are platforms for users to post and answer questions on a wide range of topics, are becoming large repositories of valuable knowledge and important to societies. In order to sustain success, Q&A sites face the challenges of ensuring content quality and encouraging user contributions. This paper examines a particular design decision in Q&A sites-allowing Wikipedia-like collaborative editing on questions and answers, and explores its beneficial effects on content quality and potential detrimental effects on users' contributions. By examining five years' archival data of Stack Overflow, we found that the benefits of collaborative editing outweigh its risks. For example, each substantive edit from other users can increase the number of positive votes by 181% for the questions and 119% for the answers. On the other hand, each edit only decreases askers and answerers' subsequent contributions by no more than 5%. This work has implications for understanding and designing large-scale social computing systems.
AB - Online question and answer (Q&A) sites, which are platforms for users to post and answer questions on a wide range of topics, are becoming large repositories of valuable knowledge and important to societies. In order to sustain success, Q&A sites face the challenges of ensuring content quality and encouraging user contributions. This paper examines a particular design decision in Q&A sites-allowing Wikipedia-like collaborative editing on questions and answers, and explores its beneficial effects on content quality and potential detrimental effects on users' contributions. By examining five years' archival data of Stack Overflow, we found that the benefits of collaborative editing outweigh its risks. For example, each substantive edit from other users can increase the number of positive votes by 181% for the questions and 119% for the answers. On the other hand, each edit only decreases askers and answerers' subsequent contributions by no more than 5%. This work has implications for understanding and designing large-scale social computing systems.
KW - Collaborative Editing
KW - QandA Systems
KW - Social Computing System Design
KW - Stack Overflow
UR - http://www.scopus.com/inward/record.url?scp=84968860805&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84968860805&partnerID=8YFLogxK
U2 - 10.1145/2675133.2675155
DO - 10.1145/2675133.2675155
M3 - Conference contribution
AN - SCOPUS:84968860805
T3 - CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing
SP - 1080
EP - 1091
BT - CSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing
PB - Association for Computing Machinery, Inc
Y2 - 14 March 2015 through 18 March 2015
ER -