Is It good to be like wikipedia? Exploring the trade-offs of introducing collaborative editing model to QandA Sites

Guo Li, Haiyi Zhu, Tun Lu, Xianghua Ding, Ning Gu

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

40 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationCSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing
PublisherAssociation for Computing Machinery, Inc
Pages1080-1091
Number of pages12
ISBN (Electronic)9781450329224
DOIs
StatePublished - Feb 28 2015
Externally publishedYes
Event18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015 - BC, Canada
Duration: Mar 14 2015Mar 18 2015

Publication series

NameCSCW 2015 - Proceedings of the 2015 ACM International Conference on Computer-Supported Cooperative Work and Social Computing

Other

Other18th ACM International Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2015
Country/TerritoryCanada
CityBC
Period3/14/153/18/15

Bibliographical note

Funding Information:
The work is supported by the National Natural Science Foundation of China (NSFC) under Grants No.61272533, No.61332008, No.61300201

Publisher Copyright:
© 2015 ACM.

Keywords

  • Collaborative Editing
  • QandA Systems
  • Social Computing System Design
  • Stack Overflow

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