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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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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
Automated Fact Checking: Task Formulations, Methods and Future Directions
James Thorne
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Andreas Vlachos
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DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
Kashyap Popat
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Subhabrata Mukherjee
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Andrew Yates
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Gerhard Weikum
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Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging
Nayeon Lee
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Chien-Sheng Wu
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Pascale Fung
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Predicting Factuality of Reporting and Bias of News Media Sources
Ramy Baly
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Georgi Karadzhov
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Dimitar Alexandrov
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James Glass
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Preslav Nakov
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Automatic Stance Detection Using End-to-End Memory Networks
Mitra Mohtarami
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Ramy Baly
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James Glass
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Preslav Nakov
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Lluís Màrquez
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Alessandro Moschitti
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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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Numeracy for Language Models: Evaluating and Improving their Ability to Predict Numbers
Georgios Spithourakis
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Sebastian Riedel
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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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Automated Fact-Checking of Claims in Argumentative Parliamentary Debates
Nona Naderi
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Graeme Hirst
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Where is Your Evidence: Improving Fact-checking by Justification Modeling
Tariq Alhindi
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Savvas Petridis
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Smaranda Muresan
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https://www.poynter.org/2017/there-are-now-114-fact-
https://doi.org/10.1111/j.1468-
https://doi.org/10.1371/journal.pone.0128193
https://www.theguardian.com/media/2016/dec/02/fake-
http://www.abc.net.au/news/2016-11-14/fake-
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Social Science
Language
English
Dataset
News
Encyclopedia
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