Wikipedia 1 is a very large and successful Web 2.0 example. As the number of Wikipedia articles and contributors grows at a very fast pace, there are also increasing disputes occurring among the contributors. Disputes often happen in articles with controversial content. They also occur frequently among contributors who are äggressive" or controversial in their personalities. In this paper, we aim to identify controversial articles in Wikipedia. We propose three models, namely the Basic model and two Controversy Rank (CR) models. These models draw clues from collaboration and edit history instead of interpreting the actual articles or edited content. While the Basic model only considers the amount of disputes within an article, the two Controversy Rank models extend the former by considering the relationships between articles and contributors. We also derived enhanced versions of these models by considering the age of articles. Our experiments on a collection of 19,456 Wikipedia articles shows that the Controversy Rank models can more effectively determine controversial articles compared to the Basic and other baseline models.
%0 Conference Paper
%1 1341556
%A Vuong, Ba-Quy
%A Lim, Ee-Peng
%A Sun, Aixin
%A Le, Minh-Tam
%A Lauw, Hady Wirawan
%B WSDM '08: Proceedings of the international conference on Web search and web data mining
%C New York, NY, USA
%D 2008
%I ACM
%K 2-mode conflict controversies models ranking wikipedia
%P 171--182
%R http://doi.acm.org/10.1145/1341531.1341556
%T On ranking controversies in wikipedia: models and evaluation
%U http://portal.acm.org/citation.cfm?id=1341531.1341556
%X Wikipedia 1 is a very large and successful Web 2.0 example. As the number of Wikipedia articles and contributors grows at a very fast pace, there are also increasing disputes occurring among the contributors. Disputes often happen in articles with controversial content. They also occur frequently among contributors who are äggressive" or controversial in their personalities. In this paper, we aim to identify controversial articles in Wikipedia. We propose three models, namely the Basic model and two Controversy Rank (CR) models. These models draw clues from collaboration and edit history instead of interpreting the actual articles or edited content. While the Basic model only considers the amount of disputes within an article, the two Controversy Rank models extend the former by considering the relationships between articles and contributors. We also derived enhanced versions of these models by considering the age of articles. Our experiments on a collection of 19,456 Wikipedia articles shows that the Controversy Rank models can more effectively determine controversial articles compared to the Basic and other baseline models.
%@ 978-1-59593-927-9
@inproceedings{1341556,
abstract = {Wikipedia 1 is a very large and successful Web 2.0 example. As the number of Wikipedia articles and contributors grows at a very fast pace, there are also increasing disputes occurring among the contributors. Disputes often happen in articles with controversial content. They also occur frequently among contributors who are "aggressive" or controversial in their personalities. In this paper, we aim to identify controversial articles in Wikipedia. We propose three models, namely the Basic model and two Controversy Rank (CR) models. These models draw clues from collaboration and edit history instead of interpreting the actual articles or edited content. While the Basic model only considers the amount of disputes within an article, the two Controversy Rank models extend the former by considering the relationships between articles and contributors. We also derived enhanced versions of these models by considering the age of articles. Our experiments on a collection of 19,456 Wikipedia articles shows that the Controversy Rank models can more effectively determine controversial articles compared to the Basic and other baseline models.},
added-at = {2009-07-08T15:59:15.000+0200},
address = {New York, NY, USA},
author = {Vuong, Ba-Quy and Lim, Ee-Peng and Sun, Aixin and Le, Minh-Tam and Lauw, Hady Wirawan},
biburl = {https://www.bibsonomy.org/bibtex/28e77306213edb6818ca6b547d65370ba/anneba},
booktitle = {WSDM '08: Proceedings of the international conference on Web search and web data mining},
description = {On ranking controversies in wikipedia},
doi = {http://doi.acm.org/10.1145/1341531.1341556},
interhash = {7b43cde5c9024bb1a73a0d41274b66ad},
intrahash = {8e77306213edb6818ca6b547d65370ba},
isbn = {978-1-59593-927-9},
keywords = {2-mode conflict controversies models ranking wikipedia},
location = {Palo Alto, California, USA},
pages = {171--182},
publisher = {ACM},
timestamp = {2009-07-08T15:59:15.000+0200},
title = {On ranking controversies in wikipedia: models and evaluation},
url = {http://portal.acm.org/citation.cfm?id=1341531.1341556},
year = 2008
}