Detecting Promotional Content in Wikipedia
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Leveraging Wikipedia article evolution for promotional tone detection
Detecting biased language is useful for a variety of applications, such as identifying hyperpartisan news sources or flagging one-sided rhetoric. In this work we introduce WikiEvolve, a dataset for document-level promoti…
The Rise of AI-Generated Content in Wikipedia
The rise of AI-generated content in popular information sources raises significant concerns about accountability, accuracy, and bias amplification. Beyond directly impacting consumers, the widespread presence of this con…
ArticlesHoaxpedia: A Unified Wikipedia Hoax Articles Dataset
Hoaxes are a recognised form of disinformation created deliberately, with potential serious implications in the credibility of reference knowledge resources such as Wikipedia. What makes detecting Wikipedia hoaxes hard i…
ArticlesBinary ClassificationBinary text classificationtext-classification+1Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia
Wikipedia is the largest online encyclopedia, used by algorithms and web users as a central hub of reliable information on the web. The quality and reliability of Wikipedia content is maintained by a community of volunte…
ArticlesInformation RetrievalRetrievalEdit wars in Wikipedia
We present a new, efficient method for automatically detecting severe conflicts `edit wars' in Wikipedia and evaluate this method on six different language WPs. We discuss how the number of edits, reverts, the length of …