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.