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Wikidata is a free and open knowledge base from the Wikimedia Foundation,that not only acts as a central storage of structured data for other projectsof the organization, but also for a growing array of information systems,including search engines. Like Wikipedia, Wikidata's content can be created andedited by anyone; which is the main source of its strength, but also allows formalicious users to vandalize it, risking the spreading of misinformationthrough all the systems that rely on it as a source of structured facts. Ourtask at the WSDM Cup 2017 was to come up with a fast and reliable predictionsystem that narrows down suspicious edits for human revision. Elaborating onprevious works by Heindorf et al. we were able to outperform all othercontestants, while incorporating new interesting features, unifying theprogramming language used to only Python and refactoring the feature extractorinto a simpler and more compact code base.

A Production Oriented Approach for Vandalism Detection in Wikidata - The Buffaloberry Vandalism Detector at WSDM Cup 2017