Table 4. Classification of datasets for fake news detection according to the application purpose.
| Dataset | # Of datasets | ||
|---|---|---|---|
| Application purpose | Fake detection | Yelp, FacebookHoax, LIAR, FakeNewsNet, Benjamin Political News, Burfoot Satire News, BuzzFeed News, Ott et al.’s, FNC-1, Spanish fake news, Fake_or_real_news, NELA-GT-2018, TW_info, FCV-2018, CNN/Daily Mail summarization dataset | 15 |
| Fact checking | Fact checking, FEVER, MisInfoText, TSHP-17, Qprop | 5 | |
| Veracity classification | CREDBANK, BuzzFace, Verification Corpus | 3 | |
| Rumour detection | EMERGENT, PHEME, Tam et al.’s dataset | 3 | |
| Clickbait detection | Zheng et al.’s dataset | 1 | |