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ZENODO
Dataset . 2007
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2007
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2007
License: CC BY
Data sources: ZENODO
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Webis Wikipedia Vandalism Corpus (Webis-WVC-07)

Authors: Potthast, Martin; Gerling, Robert; Stein, Benno;

Webis Wikipedia Vandalism Corpus (Webis-WVC-07)

Abstract

This corpus is outdated. Please use its successors PAN-WVC-10 and PAN-WVC-11. The Webis Wikipedia Vandalism Corpus (Webis-WVC-07) is a corpus for the evaluation of automatic vandalism detection algorithms for Wikipedia. For research purposes the corpus can be used free of charge. The corpus is the first standardized test collection for the comparison of vandalism detection algorithms. It comprises 940 edits from which 301 are marked as vandalism by human evaluators.

{"references": ["Martin Potthast, Benno Stein, and Robert Gerling. Automatic Vandalism Detection in Wikipedia. In Craig Macdonald et al, editors, Advances in Information Retrieval. 30th European Conference on IR Research (ECIR 2008) volume 4956 of Lecture Notes in Computer Science, pages 663-668, Berlin Heidelberg New York, 2008. Springer. ISBN 978-3-540-78645-0. ISSN 0302-9743."]}

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Keywords

wikipedia, vandalism, edits, vandalism detection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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