Roles and Success in Wikipedia Talk Pages: Identifying Latent Patterns of Behavior

Keith Maki, Michael Yoder, Yohan Jo, Carolyn Rosé


Abstract
In this work we investigate how role-based behavior profiles of a Wikipedia editor, considered against the backdrop of roles taken up by other editors in discussions, predict the success of the editor at achieving an impact on the associated article. We first contribute a new public dataset including a task predicting the success of Wikipedia editors involved in discussion, measured by an operationalization of the lasting impact of their edits in the article. We then propose a probabilistic graphical model that advances earlier work inducing latent discussion roles using the light supervision of success in the negotiation task. We evaluate the performance of the model and interpret findings of roles and group configurations that lead to certain outcomes on Wikipedia.
Anthology ID:
I17-1103
Volume:
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:
November
Year:
2017
Address:
Taipei, Taiwan
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
1026–1035
Language:
URL:
https://www.aclweb.org/anthology/I17-1103
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/I17-1103.pdf