This survey highlights the evolution of techniques within misinformation detection. Misinformation has become increasingly prevalent on the Internet by the day and progressively more threatening. Individuals who are inaccurately informed tend to make misinformed decisions which have led to voting scandals, traffic accidents, and even health concerns. We are motivated to address a research gap by analyzing misinformation detection’s overall progress and exposing the weaknesses that provide research opportunities. Our findings will further advance the work of misinformation detection and bring light to unique ways to tackle the issue. Notably, we discuss the significance of misinformation detection systems and present the problems resulting from misinformation, the techniques for detection, and open issues within this research. Misinformation is becoming an issue that requires more attention and improved systems. We believe that our systematic review and synthesis of state-of-art research will cultivate a path for these developments.
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2 October 2024
Research Article|
October 02 2024
Misinformation Detection: A Survey of AI Techniques and Research Opportunities Available to Purchase
Wenting Jiang;
Wenting Jiang
Oklahoma State University
, USA
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Ashish Gupta
Ashish Gupta
Auburn University
, USA
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Online ISSN: 2331-124X
Print ISSN: 2331-1231
© 2024 G. Taylor et al.
2024
G. Taylor et al.
Licensed re-use rights only
Foundations and Trends in Information Systems (2024) 8 (2): 66–147.
Citation
Taylor G, Jiang W, Qin X, Gupta A (2024), "Misinformation Detection: A Survey of AI Techniques and Research Opportunities". Foundations and Trends in Information Systems, Vol. 8 No. 2 pp. 66–147, doi: https://doi.org/10.1561/2900000037
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