Fake News Detection via Intermediate-Layer Emotional Representations
This paper introduces Intermediate-Layer Emotional Representations (ILER), a novel emotional embedding technique designed to capture nuanced emotional patterns in textual data. While we demonstrate its utility in the domain of fake news detection, ILER was conceived as a generalizable framework to be applied across various tasks requiring emotion or sentiment analysis.
Authors
- David A. Langlois (ORCID: https://orcid.org/0000-0001-7277-3668)
- Kamel Smaı̈li (ORCID: https://orcid.org/0000-0002-4237-7303)
- Yassine Toughrai
Institutions
- Laboratoire Lorrain de Recherche en Informatique et ses Applications (FR)
- Université de Lorraine (FR)
Publication Details
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1145/3701716.3717537
- Citations
- 1
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 4.20
Funders
- Agence Nationale de la Recherche