S. Mola-Velasco. WWW (Companion Volume), page 391-396. ACM, (2011)
Abstract
Wikipedia is an online encyclopedia that anyone can access
and edit. It has become one of the most important sources
of knowledge online and many third party projects rely on it
for a wide-range of purposes. The open model of Wikipedia
allows pranksters, lobbyists and spammers to attack the in-
tegrity of the encyclopedia and this endangers it as a public
resource. This is known in the community as vandalism.
A plethora of methods have been developed within the
Wikipedia and the scientific community to tackle this prob-
lem. We have participated in this effort and developed one
of the leading approaches. Our research aims to create a
fully-working antivandalism system and get it working in
the real world.
Description
PhD Symposium communication. Intends to explain future work on Wikipedia Vandalism Detection for a PhD thesis.
%0 Conference Paper
%1 mola11
%A Mola-Velasco, Santiago M.
%B WWW (Companion Volume)
%D 2011
%E Srinivasan, Sadagopan
%E Ramamritham, Krithi
%E Kumar, Arun
%E Ravindra, M. P.
%E Bertino, Elisa
%E Kumar, Ravi
%I ACM
%K in-thesis machine-learning myown smola text-classification wikipedia-vandalism
%P 391-396
%T Wikipedia Vandalism Detection
%U http://www.www2011india.com/proceeding/companion/p391.pdf
%X Wikipedia is an online encyclopedia that anyone can access
and edit. It has become one of the most important sources
of knowledge online and many third party projects rely on it
for a wide-range of purposes. The open model of Wikipedia
allows pranksters, lobbyists and spammers to attack the in-
tegrity of the encyclopedia and this endangers it as a public
resource. This is known in the community as vandalism.
A plethora of methods have been developed within the
Wikipedia and the scientific community to tackle this prob-
lem. We have participated in this effort and developed one
of the leading approaches. Our research aims to create a
fully-working antivandalism system and get it working in
the real world.
%@ 978-1-4503-0637-9
@inproceedings{mola11,
abstract = {Wikipedia is an online encyclopedia that anyone can access
and edit. It has become one of the most important sources
of knowledge online and many third party projects rely on it
for a wide-range of purposes. The open model of Wikipedia
allows pranksters, lobbyists and spammers to attack the in-
tegrity of the encyclopedia and this endangers it as a public
resource. This is known in the community as vandalism.
A plethora of methods have been developed within the
Wikipedia and the scientific community to tackle this prob-
lem. We have participated in this effort and developed one
of the leading approaches. Our research aims to create a
fully-working antivandalism system and get it working in
the real world.},
added-at = {2011-07-17T23:33:59.000+0200},
author = {Mola-Velasco, Santiago M.},
biburl = {https://www.bibsonomy.org/bibtex/2c45d4b8d6f3f014582aaf6039f8a8c38/smolav},
booktitle = {WWW (Companion Volume)},
crossref = {DBLP:conf/www/2011c},
description = {PhD Symposium communication. Intends to explain future work on Wikipedia Vandalism Detection for a PhD thesis.},
editor = {Srinivasan, Sadagopan and Ramamritham, Krithi and Kumar, Arun and Ravindra, M. P. and Bertino, Elisa and Kumar, Ravi},
ee = {http://doi.acm.org/10.1145/1963192.1963349},
interhash = {6ac938ce109230c9f51df71ab85dd419},
intrahash = {c45d4b8d6f3f014582aaf6039f8a8c38},
isbn = {978-1-4503-0637-9},
keywords = {in-thesis machine-learning myown smola text-classification wikipedia-vandalism},
pages = {391-396},
publisher = {ACM},
timestamp = {2011-07-17T23:34:00.000+0200},
title = {{Wikipedia Vandalism Detection}},
url = {http://www.www2011india.com/proceeding/companion/p391.pdf},
year = 2011
}