2017
EMNLP
EMNLP 2017
Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking
Abstract
AbstractWe present an analytic study on the language of news media in the context of political fact-checking and fake news detection. We compare the language of real news with that of satire, hoaxes, and propaganda to find linguistic characteristics of untrustworthy text. To probe the feasibility of automatic political fact-checking, we also present a case study based on PolitiFact.com using their factuality judgments on a 6-point scale. Experiments show that while media fact-checking remains to be an open research question, stylistic cues can help determine the truthfulness of text.
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Topic Pioneer
— Fact-Checking
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Interdisciplinary Bridge
— Machine Learning and Natural Language Processing
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Trend Setter
— Fact-Checking
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Keyword Pioneer
— political fact-checking
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio