Truth of varying shades: Analyzing language in fake news and political fact-checking

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

doi:10.18653/v1/d17-1317

Truth of varying shades: Analyzing language in fake news and political fact-checking

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

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings
Publisher	Association for Computational Linguistics (ACL)
Pages	2931-2937
Number of pages	7
ISBN (Electronic)	9781945626838
DOIs	https://doi.org/10.18653/v1/d17-1317
State	Published - 2017
Event	2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017 - Copenhagen, Denmark Duration: Sep 9 2017 → Sep 11 2017

Publication series

Name	EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings

Conference

Conference	2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017
Country/Territory	Denmark
City	Copenhagen
Period	9/9/17 → 9/11/17

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Computational Theory and Mathematics

Access to Document

10.18653/v1/d17-1317

Cite this

Rashkin, H., Choi, E., Jang, J. Y., Volkova, S., & Choi, Y. (2017). Truth of varying shades: Analyzing language in fake news and political fact-checking. In EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings (pp. 2931-2937). (EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d17-1317

Truth of varying shades: Analyzing language in fake news and political fact-checking. / Rashkin, Hannah; Choi, Eunsol; Jang, Jin Yea et al.
EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), 2017. p. 2931-2937 (EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rashkin, H, Choi, E, Jang, JY, Volkova, S & Choi, Y 2017, Truth of varying shades: Analyzing language in fake news and political fact-checking. in EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings. EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings, Association for Computational Linguistics (ACL), pp. 2931-2937, 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, 9/9/17. https://doi.org/10.18653/v1/d17-1317

Rashkin H, Choi E, Jang JY, Volkova S, Choi Y. Truth of varying shades: Analyzing language in fake news and political fact-checking. In EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL). 2017. p. 2931-2937. (EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings). doi: 10.18653/v1/d17-1317

Rashkin, Hannah ; Choi, Eunsol ; Jang, Jin Yea et al. / Truth of varying shades : Analyzing language in fake news and political fact-checking. EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), 2017. pp. 2931-2937 (EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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Truth of varying shades: Analyzing language in fake news and political fact-checking

Abstract

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