Satire Detection

Satire Detection is a computational task within misinformation detection that identifies satirical content in textual media by distinguishing intentional irony and parody from genuine misinformation through linguistic and contextual analysis.

71

Publications

5.1K

Citations

223

Authors

88

Institutions

Publications per year

2017–2026

51

Authors

223

  1. PR
    Paolo Rosso

    Universitat Politècnica de València, Spain

    7 publications · 1.3K citations

    7

    h-index

  2. FB
    Francesco Barbieri

    Universitat Pompeu Fabra, Spain

    4 publications · 135 citations

    4

    h-index

  3. HS
    Horacio Saggion

    Universitat Pompeu Fabra, Spain

    4 publications · 135 citations

    4

    h-index

  4. AR
    Antonio Reyes

    Universitat Politècnica de València, Spain

    3 publications · 1K citations

    3

    h-index

  5. AM
    Arjun Mukherjee

    University of Illinois Chicago, United States

    3 publications · 160 citations

    3

    h-index

1–5 of 223

Venues

  1. Knowledge-Based Systems

    6 publications · 452 citations

    6

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 68 citations

    4

    h-index

  3. Neurocomputing

    2 publications · 111 citations

    2

    h-index

  4. 1

    h-index

  5. Journal of Communication Disorders

    1 publications · 15 citations

    1

    h-index

1–5