Predicting length of membership in online community "Everything2" using feedback

Chandan Sarkar, Donghee Yvette Wohn, Cliff Lampe

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

10 Scopus citations

Abstract

In this paper, we examine how specific features of participation and feedback can predict the length of membership within a user generated content based online community called 'Everything2'. Examining almost 10 years of server data we found that not all feedback is the same: feedback on the user's initial contribution was the strongest factor explaining membership length. Receiving one negative initial feedback did not significantly affect membership, but sequential negative initial feedback decreased the likelihood of staying longer on the site.

Original languageEnglish (US)
Title of host publicationCSCW'12 - Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work Companion
Pages207-210
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
EventACM 2012 Conference on Computer Supported Cooperative Work Companion, CSCW'12 - Seattle, WA, United States
Duration: Feb 11 2012Feb 15 2012

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Other

OtherACM 2012 Conference on Computer Supported Cooperative Work Companion, CSCW'12
Country/TerritoryUnited States
CitySeattle, WA
Period2/11/122/15/12

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

Keywords

  • feedback
  • online community
  • user length of membership
  • user retention

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