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

Authors

130

  1. GM
    Gina M. Eosco

    Cornell University, United States

    1 publications · 108 citations

    1

    h-index

  2. MA
    Michael A. Shapiro

    Cornell University, United States

    1 publications · 39 citations

    1

    h-index

  3. MM
    Meredithe McNamara

    Yale University, United States

    1 publications · 26 citations

    1

    h-index

  4. TG
    Tirthankar Ghosal

    Indian Institute of Technology Patna, India

    1 publications · 69 citations

    1

    h-index

  5. JA
    Jaime A. Teixeira da Silva

    Kagawa University, Japan

    1 publications · 42 citations

    1

    h-index

1–5 of 130

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 2 publications · 239 citations

    2

    h-index

  2. Science Communication

    2 publications · 163 citations

    2

    h-index

  3. Science

    2 publications · 63 citations

    2

    h-index

  4. PubMed

    Repository · 2 publications · 28 citations

    2

    h-index

  5. Scientific Reports

    2 publications · 121 citations

    2

    h-index

1–5