@inproceedings{4a3bc24f176443e1afb4845320e373d4,
title = "Predicting length of membership in online community {"}Everything2{"} using feedback",
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.",
keywords = "feedback, online community, user length of membership, user retention",
author = "Chandan Sarkar and Wohn, \{Donghee Yvette\} and Cliff Lampe",
year = "2012",
month = feb,
day = "11",
doi = "10.1145/2141512.2141579",
language = "English (US)",
isbn = "9781450310512",
series = "Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW",
publisher = "Association for Computing Machinery",
pages = "207--210",
booktitle = "CSCW'12 - Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work Companion",
note = "ACM 2012 Conference on Computer Supported Cooperative Work Companion, CSCW 2012 ; Conference date: 11-02-2012 Through 15-02-2012",
}