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

Authors

56

  1. EM
    Elena Musi

    Columbia University, United States

    2 publications · 42 citations

    2

    h-index

  2. YN
    Yair Neuman

    Ben-Gurion University of the Negev, Israel

    2 publications · 61 citations

    2

    h-index

  3. TC
    Tuhin Chakrabarty

    Columbia University, United States

    1 publications · 16 citations

    1

    h-index

  4. ZJ
    Zhijing Jin

    ETH Zurich, Switzerland

    1 publications · 43 citations

    1

    h-index

  5. TA
    Tariq Alhindi

    Columbia University, United States

    1 publications · 16 citations

    1

    h-index

1–5 of 56

Venues

  1. 1

    h-index

  2. Journal for the Theory of Social Behaviour

    1 publications · 174 citations

    1

    h-index

  3. Mind

    1 publications · 15 citations

    1

    h-index

  4. Knowledge-Based Systems

    1 publications · 19 citations

    1

    h-index

  5. Theoretical Economics

    TE · 1 publications · 15 citations

    1

    h-index

1–5