Misinformation Detection on Social Media

Challenges and the Road Ahead

Journal article (2022)

Authors

Milad Taleby Ahvanooey Nanjing University
Mark Xuefang Zhu Nanjing University
Wojciech Mazurczyk Warsaw University of Technology
Kim Kwang Raymond Choo The University of Texas at San Antonio
M. Conti Università degli Studi di Padova,
Jing Zhang Nanjing University of Science and Technology
Copyright: © 2022 Milad Taleby Ahvanooey, Mark Xuefang Zhu, Wojciech Mazurczyk, Kim Kwang Raymond Choo, M. Conti, Jing Zhang
DOI: https://doi.org/10.1109/MITP.2021.3120876
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Published Date

2022

Language

English

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Abstract

It is increasingly challenging to deal with the volume,variety, velocity, and veracity of misinformation (e.g., dissemination of fake news contents, spurious posts, and fabricated images/videos) from different online platforms. In this article, we present an overview of existing machine learning and information hiding-based misinformation detection techniques and discuss the current threats and limitations of these approaches. Based on the discussion, we identify a number of potential countermeasures.

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