Fallacy Detection
Fallacy Detection is a methodological construct in evidence evaluation that identifies logical inconsistencies or invalid argument forms within reasoning processes by distinguishing them from valid inferences.
23
Publications
796
Citations
56
Authors
28
Institutions
Publications per year
2017–2026
7
Parents
23
A Bayesian Approach to Informal Argument Fallacies
Ulrike Hahn, Mike Oaksford · Synthese · 2006 · 131 citations
Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya et al. · 2022 · 43 citations · Full text
1–5 of 23
56
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1
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1–5 of 56
28
The University of Texas at Austin
Austin, United States
2 h-index
4 publications
69 citations
Ben-Gurion University of the Negev
Beersheba, Israel
2 h-index
5 publications
157 citations

University of Liverpool
Liverpool, United Kingdom
2 h-index
2 publications
42 citations

Saarland University
Saarbrücken, Germany
1 h-index
1 publications
43 citations
ETH Zurich
Zurich, Switzerland
1 h-index
3 publications
129 citations

University of Dundee
Dundee, United Kingdom
1 h-index
1 publications
26 citations

University of Macau
Macao, Macao
1 h-index
1 publications
17 citations
University of Michigan
Ann Arbor, United States
1 h-index
2 publications
86 citations
1–8 of 28
1 publications · 26 citations
1
h-index
1 publications · 174 citations
1
h-index
1 publications · 15 citations
1
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1 publications · 19 citations
1
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TE · 1 publications · 15 citations
1
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1–5