Detection of Vandalism in Wikipedia using Metadata Features – Implementation in Simple English and Albanian sections
نویسندگان
چکیده
منابع مشابه
Wikipedia Vandalism Detection: Combining Natural Language, Metadata, and Reputation Features
Wikipedia is an online encyclopedia which anyone can edit. While most edits are constructive, about 7% are acts of vandalism. Such behavior is characterized by modifications made in bad faith; introducing spam and other inappropriate content. In this work, we present the results of an effort to integrate three of the leading approaches to Wikipedia vandalism detection: a spatio-temporal analysi...
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We present results of a new approach to detect destructive article revisions, so-called vandalism, in Wikipedia. Vandalism detection is a one-class classification problem, where vandalism edits are the target to be identified among all revisions. Interestingly, vandalism detection has not been addressed in the Information Retrieval literature by now. In this paper we discuss the characteristics...
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The importance of collaborative social media (CSM) applications such as Wikipedia to modern free societies can hardly be overemphasized. By allowing end users to freely create and edit content, Wikipedia has greatly facilitated democratization of information. However, over the past several years, Wikipedia has also become susceptible to vandalism, which has adversely affected its information qu...
متن کامل: metadiscourse in introduction sections of applied linguistics and physics research articles: exploring variation in frequency and type
abstract in written mode of language, metadiscourse markers are used commonly to help writers in general and academic writers in particular to produce coherent and professional texts. the purpose of the present study was to compare introduction sections of applied linguistics and physics articles regarding their use of interactive and interactional metadiscourse markers based on the model pro...
15 صفحه اولLanguage of Vandalism: Improving Wikipedia Vandalism Detection via Stylometric Analysis
Community-based knowledge forums, such as Wikipedia, are susceptible to vandalism, i.e., ill-intentioned contributions that are detrimental to the quality of collective intelligence. Most previous work to date relies on shallow lexico-syntactic patterns and metadata to automatically detect vandalism in Wikipedia. In this paper, we explore more linguistically motivated approaches to vandalism de...
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ژورنال
عنوان ژورنال: Advances in Science, Technology and Engineering Systems Journal
سال: 2017
ISSN: 2415-6698
DOI: 10.25046/aj020401