Crowdsourced Verification

Crowdsourced Verification is a method within the field of source verification that leverages the collective input of multiple independent contributors, typically via digital platforms, to assess the authenticity, accuracy, or credibility of information by aggregating dispersed judgments or evidence.

22

Publications

2.3K

Citations

84

Authors

42

Institutions

Publications per year

2017–2026

9

Authors

84

  1. MD
    Michael D. Ernst

    University of Washington, United States

    2 publications · 33 citations

    2

    h-index

  2. NF
    Natalya F. Noy

    Stanford University, United States

    2 publications · 114 citations

    2

    h-index

  3. TW
    Todd W. Schiller

    University of Washington, United States

    2 publications · 33 citations

    2

    h-index

  4. JM
    Jonathan Mortensen

    Stanford University, United States

    2 publications · 114 citations

    2

    h-index

  5. MA
    Mark A. Musen

    Stanford University, United States

    2 publications · 114 citations

    2

    h-index

1–5 of 84

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 75 citations

    1

    h-index

  2. Perspectives on Psychological Science

    PPSC · 1 publications · 153 citations

    1

    h-index

  3. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 62 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 52 citations

    1

    h-index

  5. 1

    h-index

1–5