Credibility Scoring

Credibility Scoring is a computational method that quantifies the reliability of information sources or content by assigning a numerical score based on verifiable evidence, source authority, consistency, and other trust indicators within the context of misinformation detection.

92

Publications

6.4K

Citations

326

Authors

121

Institutions

Publications per year

2017–2026

35

Authors

326

  1. AG
    Aditi Gupta

    Indraprastha Institute of Information Technology Delhi, India

    3 publications · 447 citations

    3

    h-index

  2. PK
    Ponnurangam Kumaraguru

    Indraprastha Institute of Information Technology Delhi, India

    3 publications · 447 citations

    3

    h-index

  3. YL
    Yannick Lucotte

    Paris School of Business, France

    2 publications · 56 citations

    2

    h-index

  4. AG
    Adam G. Dunn

    The University of Sydney, Australia

    2 publications · 77 citations

    2

    h-index

  5. AW
    Adam Wierzbicki

    Polish-Japanese Academy of Information Technology, Poland

    2 publications · 108 citations

    2

    h-index

1–5 of 326

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 118 citations

    5

    h-index

  2. Information Processing & Management

    3 publications · 138 citations

    3

    h-index

  3. Journalism Quarterly

    2 publications · 179 citations

    2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 26 citations

    2

    h-index

  5. IEEE Intelligent Systems

    1 publications · 46 citations

    1

    h-index

1–5