Misinformation Detection on Social Media
Challenges and the Road Ahead
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, TU Delft - Cyber Security)
Jing Zhang (Nanjing University of Science and Technology)
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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.