Oct. 12, 2022, 1:17 a.m. | Cagri Toraman, Oguzhan Ozcelik, Furkan Şahinuç, Fazli Can

cs.CL updates on arXiv.org arxiv.org

Misinformation spread in online social networks is an urgent-to-solve problem
having harmful consequences that threaten human health, public safety,
economics, and so on. In this study, we construct a novel dataset, called
MiDe-22, having 5,284 English and 5,064 Turkish tweets with their
misinformation labels under several recent events, including the Russia-Ukraine
war, COVID-19 pandemic, and Refugees. Moreover, we provide the user engagements
to the tweets in terms of likes, replies, retweets, and quotes. We present a
detailed data analysis with …

arxiv covid covid-19 detection good misinformation refugees russia russia-ukraine ukraine war

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