Fake News Detection Techniques on Social Media: A Survey

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Item/entity</td><td class="align_center">No. of datasets</td><td class="align_center">List of datasets</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Mainstream media</td><td class="align_center">13</td><td class="align_center">“Fact-checking, yelp data, FEVER, Benjamin political news, Burfoot satire news, MisInfoText, FNC-1, and Spanish false news fake or real news, Qprop, TSHP-17, NELA-GT-2018, CNN/daily mail collection of summaries”</td></tr><tr><td class="align_left">Online social media</td><td class="align_center">10</td><td class="align_center">“PHEME, CREDBANK, BuzzFace, FacebookHoax, BuzzFeed news, Ott and colleagues’ dataset, TW info, FCV-2018, verification corpus, tam, et al.’s dataset”</td></tr><tr><td class="align_left">Mainstream + online social media</td><td class="align_center">4</td><td class="align_center">“LIAR, EMERGENT, FakeNewsNet, Zheng, et al.’s dataset:</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Datasets for detecting fake news based on media platform.</div>

Wireless Communications and Mobile Computing

tab5

Table 5

Table 5: Fake News Detection Techniques on Social Media: A Survey 