Identifying Fake News from the Variables that Governs the Spread of Fake News

Conference paper


Dordevic, M., Pourghomi, P. and Safieddine, F. 2020. Identifying Fake News from the Variables that Governs the Spread of Fake News. SMAP 2020: 15th International Workshop on Semantic and Social Media Adaptation and Personalization. Zakynthos, GR 29 - 30 Oct 2020 IEEE.
AuthorsDordevic, M., Pourghomi, P. and Safieddine, F.
TypeConference paper
Abstract

Several researchers have attempted to investigate the processes that govern and support the spread of fake news. This paper collates and identifies these variables. This paper then categorises these variables based on three key players that are involved in the process: Users, Content, and Social Networks. The authors conducted an extensive review of the literature and a reflection on the key variables that are involved in the process. The paper has identified a total of twenty-seven variables. Then the paper presents a series of tasks to mitigate or eliminate these variables in a holistic process that could be automated to reduce or eliminate fake news propagation. Finally, the paper suggests further research into testing the method in lab conditions.

Year2020
ConferenceSMAP 2020: 15th International Workshop on Semantic and Social Media Adaptation and Personalization
PublisherIEEE
Accepted author manuscript
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Publication process dates
Accepted16 Jun 2020
Deposited03 Jul 2020
ISBN978-1-7281-5919-5
Copyright holder© 2020 IEEE
Copyright informationPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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The Spreading of Misinformation online IEEE_FS_2.pdf
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