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Most Influential EMNLP 2017 Paper · 2026-03 edition

Truth Of Varying Shades: Analyzing Language In Fake News And Political Fact-Checking

Hannah Rashkin; Eunsol Choi; Jin Yea Jang; Svitlana Volkova; Yejin Choi

Venue
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2017
Recognition
Most Influential EMNLP 2017 Paper (Rank No. 11)
Edition
2026-03
Impact factor
8
Certificate ID
8bbdd28078d363c9

Abstract

We 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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