@InProceedings{rashkin-EtAl:2017:EMNLP2017,
  author    = {Rashkin, Hannah  and  Choi, Eunsol  and  Jang, Jin Yea  and  Volkova, Svitlana  and  Choi, Yejin},
  title     = {Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {2931--2937},
  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.},
  url       = {https://www.aclweb.org/anthology/D17-1317}
}