Misinformation Classification

Misinformation Classification is a computational method that distinguishes false or misleading information from accurate content by analyzing linguistic, semantic, or contextual features within digital media.

145

Publications

8.2K

Citations

508

Authors

236

Institutions

Publications per year

2017–2026

141

Authors

508

  1. VP
    Verónica Pérez‐Rosas

    University of Michigan, United States

    2 publications · 135 citations

    2

    h-index

  2. HW
    Hans W. A. Hanley

    Stanford University, United States

    2 publications · 37 citations

    2

    h-index

  3. IY
    Inggrid Yanuar Risca Pratiwi

    State University of Malang, Indonesia

    2 publications · 88 citations

    2

    h-index

  4. ZD
    Zakir Durumeric

    Stanford University, United States

    2 publications · 37 citations

    2

    h-index

  5. JS
    Jeremy Straub

    University of North Dakota, United States

    2 publications · 70 citations

    2

    h-index

1–5 of 508

Venues

  1. arXiv (Cornell University)

    Repository · 12 publications · 301 citations

    11

    h-index

  2. 6

    h-index

  3. Multimedia Tools and Applications

    3 publications · 209 citations

    3

    h-index

  4. Social Network Analysis and Mining

    3 publications · 133 citations

    3

    h-index

  5. Journal of Medical Internet Research

    3 publications · 138 citations

    3

    h-index

1–5