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ZENODO
Dataset . 2016
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 . 2016
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 . 2016
License: CC BY
Data sources: ZENODO
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Wikidata Vandalism Corpus 2016 (WDVC-16)

Authors: Stefan Heindorf; Martin Potthast; Gregor Engels; Benno Stein;

Wikidata Vandalism Corpus 2016 (WDVC-16)

Abstract

The Wikidata vandalism corpus 2016 (WDVC-16) is a corpus for the evaluation of automatic vandalism detectors for Wikidata. It was employed as part of the WSDM Cup 2017. For research purposes the corpus can be used free of charge. When using the data, please make sure to refer to it as follows: @inproceedings{heindorf2017overview, author = {Stefan Heindorf and Martin Potthast and Gregor Engels and Benno Stein}, title = {Overview of the Wikidata Vandalism Detection Task at {WSDM} Cup 2017}, booktitle = {{WSDM Cup 2017 Notebook Papers}}, url = {https://arxiv.org/abs/1712.05956}, year = {2017} }

{"references": ["Stefan Heindorf, Martin Potthast, Hannah Bast, Bj\u00f6rn Buchhold, and Elmar Haussmann. WSDM Cup 2017: Vandalism Detection and Triple Scoring. In WSDM, pages 827-828. ACM, 2017", "Stefan Heindorf, Martin Potthast, Gregor Engels, and Benno Stein. Overview of the Wikidata Vandalism Detection Task at WSDM Cup 2017. In WSDM Cup 2017 Notebook Papers, 2017"]}

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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!
views
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126