Reasoning About Disinformation

The identification, formal representation, and debunking of disinformation are important research areas, particularly with the widespread production of artificial intelligence-generated disinformation. In this work, a formal representation of disinformation is proposed based using a modified form of fuzzy logic.

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Publication Details

Journal
Computer
Published
2025-02-20
DOI
https://doi.org/10.1109/mc.2024.3487271
Citations
1
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
4.20
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article

Reasoning About Disinformation

Phillip A. Laplante
1 citations
Computer
Misinformation and Its Impacts
4.20
article

Reasoning About Disinformation

Phillip A. Laplante
article en
1 citations

Abstract

The identification, formal representation, and debunking of disinformation are important research areas, particularly with the widespread production of artificial intelligence-generated disinformation. In this work, a formal representation of disinformation is proposed based using a modified form of fuzzy logic.

ComputerVol. 58(3)
Pennsylvania State University (US)
Openalex Percentile: Top 10%
Misinformation and Its Impacts
4.20
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Reasoning About Disinformation — Phillip A. Laplante · Computer (2025) | TGRS Research Map | TGRS