Table 3. Classification of datasets for fake news detection according to the news domain.

		Dataset	# Of datasets
News domain	Technology	Yelp, EMERGENT, Burfoot Satire News, FNC-1, CNN/Daily Mail summarization dataset, Tam et al.’s dataset	6
	Politics	PHEME, BuzzFace, LIAR, Fact checking, FakeNewsNet, Benjamin Political News, Burfoot Satire News, BuzzFeed News, FNC-1, Spanish fake news, Fake_or_real_news, TSHP-17, Qprop, NELA-GT-2018, TW_info, CNN/Daily Mail summarization dataset, Tam et al.’s dataset	17
	Economy	Burfoot Satire News, Spanish fake news, CNN/Daily Mail summarization dataset	3
	Society	PHEME, CREDBANK, BuzzFace, Fact checking, FEVER, EMERGENT, FakeNewsNet, Burfoot Satire News, MisInfoText, FNC-1, Spanish fake news, Fake_or_real_news, FCV-2018, Verification Corpus, CNN/Daily Mail summarization dataset, Zheng et al.’s dataset	16
	Science	FacebookHoax, Spanish fake news, Tam et al.’s dataset	3
	Security	Spanish fake news	1
	Health	Spanish fake news, CNN/Daily Mail summarization dataset	2
	Tourism	Ott et al.’s	1
	Sport	Spanish fake news, CNN/Daily Mail summarization dataset	2
	Education	Spanish fake news	1
	Entertainment	Spanish fake news	1
	Crime	CNN/Daily Mail summarization dataset, Tam et al.’s dataset	2
	Fraud and scam	Tam et al.’s dataset	1
	Fauxtography	Tam et al.’s dataset	1

Note:

Dataset characteristics and requirements for comparing datasets.