Source Bias Detection

Source Bias Detection is a methodological framework within source evaluation that systematically identifies and assesses systematic distortions in information arising from the presuppositions, interests, or perspectives of a source.

97

Publications

5.7K

Citations

312

Authors

181

Institutions

Publications per year

2017–2026

28

Authors

312

  1. AR
    Alvan R. Feinstein

    Yale University, United States

    4 publications · 312 citations

    4

    h-index

  2. CD
    Cristian Danescu-Niculescu-Mizil

    Cornell University, United States

    3 publications · 371 citations

    3

    h-index

  3. RI
    Ralph I. Horwitz

    Yale University, United States

    3 publications · 291 citations

    3

    h-index

  4. AI
    Alfred I. Neugut

    Columbia University, United States

    2 publications · 91 citations

    2

    h-index

  5. VN
    Vlad Niculae

    Cornell University, United States

    2 publications · 73 citations

    2

    h-index

1–5 of 312

Venues

  1. Climacteric

    3 publications · 117 citations

    3

    h-index

  2. Journal of Personality and Social Psychology

    3 publications · 159 citations

    3

    h-index

  3. Journal of School Health

    2 publications · 67 citations

    2

    h-index

  4. Discourse Processes

    DP · 2 publications · 91 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 150 citations

    2

    h-index

1–5