A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods-Reference-Cited by-同舟云学术

A Meta-Analysis of State-of-the-Art Automated Fake News Detection Methods

Published:2023 Issue: Volume: Page:1-11
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Kozik Rafał¹^ORCID,Pawlicka Aleksandra²^ORCID,Pawlicki Marek¹^ORCID,Choraś Michał¹,Mazurczyk Wojciech³^ORCID,Cabaj Krzysztof³^ORCID

Affiliation:

1. Telecommunications, Computer Science and Electrical Engineering, Bydgoszcz University of Science and Technology, Bydgoszcz, Poland

2. Faculty of Applied Linguistics, University of Warsaw, Warsaw, Poland

3. Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland

Funder

National Center for Research and Development within the INFOSTRATEG Program

National Center for Research and Development within European Interest Group (EIG) CONCERT-Japan call to the Project “Detection of fake newS on SocIal MedIa pLAtfoRms (DISSIMILAR)”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/6780646/10196320.pdf?arnumber=10196320

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