Scientific Misinformation Detection
Scientific Misinformation Detection is a methodological framework within media literacy in science that systematically identifies and differentiates false or misleading scientific claims from accurate scientific information by analyzing content for empirical invalidity, logical fallacies, or deviations from scientific consensus.
43
Publications
2.3K
Citations
130
Authors
79
Institutions
Publications per year
2017–2026
32
Parents
43
Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter
Mabrook Al‐Rakhami, Atif Alamri · IEEE Access · 2020 · 156 citations · Full text
When Debunking Scientific Myths Fails (and When It Does Not)
Christina Peter, Thomas Koch · Science Communication · 2015 · 124 citations · Full text
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79

Cornell University
Ithaca, United States
2 h-index
4 publications
225 citations

The University of Sydney
Sydney, Australia
2 h-index
6 publications
178 citations
George Mason University
Fairfax, United States
2 h-index
2 publications
119 citations
University of Utah
Salt Lake City, United States
2 h-index
2 publications
176 citations
Yale University
New Haven, United States
2 h-index
9 publications
610 citations
Technion – Israel Institute of Technology
Haifa, Israel
1 h-index
2 publications
362 citations
University of South Carolina
Columbia, United States
1 h-index
1 publications
108 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
2 publications
154 citations
1–8 of 79
PNAS · 2 publications · 239 citations
2
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2 publications · 163 citations
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2 publications · 63 citations
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Repository · 2 publications · 28 citations
2
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2 publications · 121 citations
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