Crowdsourcing a Wikipedia Vandalism Corpus众包维基百科破坏公物
2页1、Crowdsourcing a Wikipedia Vandalism Corpus Martin Potthast Bauhaus-Universitt Weimar 99421 Weimar, Germany martin.potthastuni-weimar.de ABSTRACT Wereport on theconstruction of thePAN Wikipediavandalism cor- pus, PAN-WVC-10, using Amazons Mechanical Turk. The corpus compiles 32452 edits on 28468 Wikipedia articles, among which 2391 vandalism edits have been identifi ed. 753 human annotators cast a total of 193022 votes on the edits, so that each edit was reviewed by at least 3 annotators, whereas
2、 the achieved level of agreement was analyzed in order to label an edit as “regular” or “vandalism.” The corpus is available free of charge.1 Categories and Subject Descriptors: H.3.4 Information Storage and Retrieval: Systems and SoftwarePerformance Evaluation General Terms: Experimentation Keywords: Wikipedia, Vandalism Detection, Evaluation, Corpus 1.INTRODUCTION Wikipedia is an encyclopedia written by the crowd. The key to Wikipedias success is a collaborative writing process, where ev- eryb
3、ody can edit every article. Ideally, the reader of an article also revises it to the best of her abilities, e.g. by correcting errors, by improving the writing style, by adding missing information, or by removing redundancy. In this way Wikipedias articles get continu- ously improved and updated. This“freedom of editing” gavethe lie to those who suggested that the resulting articles would be charac- terized by poor quality and instability. Wikipedia thrives. There is no free lunch, however, and
4、Wikipedia faces problems that limit its growth, such as vandalism, edit wars, and lobbyism. Our concern is the automatic detection of vandalism in Wikipedia, i.e., the detec- tion of edits that were made with bad intentions. We contribute to this research fi eldby developing a largecorpus of human-annotated edits, which is a prerequisite for the meaningful evaluation of van- dalism detection algorithms. In particular, we report on our efforts to use Amazons Mechanical Turk as a possibility to dr
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