TY - GEN
T1 - Predicting length of membership in online community "Everything2" using feedback
AU - Sarkar, Chandan
AU - Wohn, Donghee Yvette
AU - Lampe, Cliff
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - feedback
KW - online community
KW - user length of membership
KW - user retention
UR - http://www.scopus.com/inward/record.url?scp=84858254794&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84858254794&partnerID=8YFLogxK
U2 - 10.1145/2141512.2141579
DO - 10.1145/2141512.2141579
M3 - Conference contribution
AN - SCOPUS:84858254794
SN - 9781450310512
T3 - Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
SP - 207
EP - 210
BT - CSCW'12 - Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work Companion
T2 - ACM 2012 Conference on Computer Supported Cooperative Work Companion, CSCW'12
Y2 - 11 February 2012 through 15 February 2012
ER -