Textual Misinformation Detection

Textual Misinformation Detection is a computational methodology within natural language processing that specifically identifies and verifies false or misleading claims in textual content by analyzing linguistic patterns and factual consistency.

126

Publications

6.6K

Citations

446

Authors

186

Institutions

Publications per year

2017–2026

122

Authors

446

  1. GW
    Gerhard Weikum

    Max Planck Institute for Informatics, Germany

    4 publications · 508 citations

    4

    h-index

  2. SM
    Subhabrata Mukherjee

    Max Planck Institute for Informatics, Germany

    3 publications · 490 citations

    3

    h-index

  3. AV
    Andreas Vlachos

    University of Cambridge, United Kingdom

    3 publications · 198 citations

    3

    h-index

  4. KP
    Kashyap Popat

    Max Planck Institute for Informatics, Germany

    3 publications · 490 citations

    3

    h-index

  5. MW
    Michał Woźniak

    Wrocław University of Science and Technology, Poland

    2 publications · 179 citations

    2

    h-index

1–5 of 446

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 617 citations

    11

    h-index

  2. Information Processing & Management

    4 publications · 436 citations

    4

    h-index

  3. Expert Systems with Applications

    3 publications · 259 citations

    3

    h-index

  4. Neural Processing Letters

    2 publications · 122 citations

    2

    h-index

  5. IEEE Access

    2 publications · 82 citations

    2

    h-index

1–5