Misinformation Detection on Social Media: Challenges and the Road Ahead

Milad Taleby Ahvanooey; Mark Xuefang Zhu; Wojciech Mazurczyk; Kim Kwang Raymond Choo; Mauro Conti; Jing Zhang

doi:10.1109/MITP.2021.3120876

Misinformation Detection on Social Media: Challenges and the Road Ahead

Milad Taleby Ahvanooey, Mark Xuefang Zhu, Wojciech Mazurczyk, Kim Kwang Raymond Choo, Mauro Conti, Jing Zhang

Cyber Security

Research output: Contribution to journal › Article › Scientific › peer-review

7 Citations (Scopus)

38 Downloads (Pure)

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.

Original language	English
Pages (from-to)	34-40
Number of pages	7
Journal	IT Professional
Volume	24
Issue number	1
DOIs	https://doi.org/10.1109/MITP.2021.3120876
Publication status	Published - 2022

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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AU - Choo, Kim Kwang Raymond

AU - Conti, Mauro

AU - Zhang, Jing

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Misinformation Detection on Social Media: Challenges and the Road Ahead

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