Misinformation Classification
Misinformation Classification is a computational method that distinguishes false or misleading information from accurate content by analyzing linguistic, semantic, or contextual features within digital media.
145
Publications
8.2K
Citations
508
Authors
236
Institutions
Publications per year
2017–2026
141
Parents
145
Fake News Detection Using Machine Learning Ensemble Methods
Iftikhar Ahmad, Muhammad Murtaza Yousaf, Suhail Yousaf et al. · Complexity · 2020 · 466 citations · Full text
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236
University of Michigan
Ann Arbor, United States
4 h-index
8 publications
473 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
10 publications
312 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
3 h-index
4 publications
145 citations
New York University
New York, United States
3 h-index
9 publications
472 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
7 publications
1.1K citations
Max Planck Institute for Informatics
Saarbrücken, Germany
2 h-index
4 publications
74 citations
Khulna University of Engineering and Technology
Khulna, Bangladesh
2 h-index
2 publications
149 citations
RMIT University
Melbourne, Australia
2 h-index
2 publications
82 citations
1–8 of 236
Repository · 12 publications · 301 citations
11
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6 publications · 167 citations
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3 publications · 209 citations
3
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3 publications · 133 citations
3
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3 publications · 138 citations
3
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