【学习】ACL 2017的短文本假新闻检测数据集及论文

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点击上方 “机器学习研究会” 可以订阅哦 摘要   转自：王威廉微博 “Liar,Liar Pants on Fire”: ANew Benchmark Dataset for Fake News Detection   William Yang Wang Department of Computer ScienceUniversity of California, Santa Barbara Santa Barbara, CA 93106 USA william@cs.ucsb.edu Abstract  Automatic fake news detection is a chal- lenging problem in deception detection, and it has tremendous real-world politi- cal and social impacts. However, statis- tical approaches to combating fake news has been dramatically limited by the lack of labeled benchmark datasets. In this paper, we present LIAR: a new, publicly available dataset for fake news detection. We collected a decade-long, 12.8K man- ually labeled short statements in various contexts from POLITIFACT.COM, which provides detailed analysis report and lin ………………………………