Identifying Fake News and Fake Users on Twitter | Zendy

Costel-Sergiu Atodiresei | Zendy; Alexandru Tănăselea | Zendy; Adrian Iftene | Zendy

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Identifying Fake News and Fake Users on Twitter

Author(s) -

Costel-Sergiu Atodiresei,

Alexandru Tănăselea,

Adrian Iftene

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.07.279

Subject(s) - fake news , computer science , internet privacy , social media , product (mathematics) , social network (sociolinguistics) , world wide web , sentiment analysis , computer security , artificial intelligence , geometry , mathematics

In the last years big social networks like Facebook or Twitter admit that on their networks are fake and duplicate accounts, fake news and fake likes. With these accounts, their creators can distribute false information, support or attack an idea, a product, or an election candidate, influencing real network users in making a decision. In this paper, we present our system build with the aim of identifying fake users and fake news in the Twitter social network.

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