False Information Detection
False Information Detection is a computational method designed to systematically identify and verify factually inaccurate or fabricated content within textual data by distinguishing it from other forms of information discrepancy such as misinformation, disinformation, or opinion.
705
Publications
48.3K
Citations
2.2K
Authors
888
Institutions
Publications per year
2017–2026
499
Parents
705
Rumor has it: Identifying Misinformation in Microblogs
Vahed Qazvinian, Emily Rosengren, Dragomir Radev et al. · 2011 · 708 citations
Social Sciences, Communication, Computational Linguistics +15
Katherine Clayton, Spencer Blair, Jonathan A. Busam et al. · Political Behavior · 2019 · 667 citations
1–5 of 705
2.2K
9
h-index
9
h-index
5
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5
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5
h-index
1–5 of 2.2K
888
Arizona State University
Tempe, United States
12 h-index
32 publications
8.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
10 h-index
38 publications
1.7K citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
16 publications
731 citations

Chinese Academy of Sciences
Beijing, China
7 h-index
22 publications
2K citations
Virginia Tech
Blacksburg, United States
7 h-index
8 publications
250 citations

Pennsylvania State University
State College, United States
7 h-index
13 publications
5K citations
University of Zurich
Zurich, Switzerland
7 h-index
12 publications
861 citations
University of Oxford
Oxford, United Kingdom
7 h-index
12 publications
429 citations
1–8 of 888
Repository · 23 publications · 2K citations
17
h-index
Repository · 8 publications · 263 citations
8
h-index
8 publications · 501 citations
8
h-index
9 publications · 785 citations
8
h-index
6 publications · 839 citations
6
h-index
1–5