September 9, 2017
Conference Paper

Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking

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, hoax, and propaganda to find linguistic cues for untruthful text. To probe the feasibility of automatic political fact-checking, we present a case study based on PolitiFact.com using their factuality judgments on a 6-point scale. Experimental results show that while media fact-checking remains to be an open research question, stylistic cues can help determine the truthfulness of text.

Revised: May 31, 2018 | Published: September 9, 2017

Citation

Rashkin H.J., E. Choi, J. Jang, S. Volkova, and Y. Choi. 2017. Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking. In Proceedings of the 2017 Conference on Empirical Methods for Natural Language Processing, 2931-2937. Stroudsburg, Pennsylvania:Association for Computational Linguistics. PNNL-SA-124142.