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“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection
William Yang Wang
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Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Automated Fact Checking: Task Formulations, Methods and Future Directions
James Thorne
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Andreas Vlachos
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All-in-one: Multi-task Learning for Rumour Verification
Elena Kochkina
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Maria Liakata
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Arkaitz Zubiaga
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Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking
Hannah Rashkin
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Eunsol Choi
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Jin Yea Jang
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Svitlana Volkova
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Yejin Choi
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TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification
Wenpeng Yin
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Dan Roth
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FEVER: a Large-scale Dataset for Fact Extraction and VERification
James Thorne
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Andreas Vlachos
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Christos Christodoulopoulos
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Arpit Mittal
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Integrating Stance Detection and Fact Checking in a Unified Corpus
Ramy Baly
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Mitra Mohtarami
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James Glass
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Lluís Màrquez
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Alessandro Moschitti
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Preslav Nakov
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360° Stance Detection
Sebastian Ruder
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John Glover
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Afshin Mehrabani
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Parsa Ghaffari
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Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources
Maria Glenski
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Tim Weninger
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Svitlana Volkova
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The Data Challenge in Misinformation Detection: Source Reputation vs. Content Veracity
Fatemeh Torabi Asr
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Maite Taboada
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https://doi.org/10.18653/v1/P17-2067
https://doi.org/10.18653/v1/P17-2067
http://www.nytimes.com/2016/12/05/business/media/comet-
http://blogs.channel4.com/factcheck/
http://www.politifact.com/
https://www.cs.ucsb.edu/
http://static.politifact.com/api/
https://www.csie.ntu.edu.tw/cjlin/libshorttext/
Field Of Study
Linguistic Trends
Embeddings
Task
Sentiment Analysis
OCR
Approach
Topic Modeling
Deep Learning
Semi-supervised Learning
Dataset
News
Social Media
Twitter
Blogs
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