MuSaRoNews: A Multidomain, Multimodal Satire Dataset from Romanian News Articles

Fuente: arXiv
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Hauptverfasser: Smădu, Răzvan-Alexandru, Iuga, Andreea, Cercel, Dumitru-Clementin
Format: Preprint
Veröffentlicht: 2025
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author Smădu, Răzvan-Alexandru
Iuga, Andreea
Cercel, Dumitru-Clementin
author_facet Smădu, Răzvan-Alexandru
Iuga, Andreea
Cercel, Dumitru-Clementin
contents Satire and fake news can both contribute to the spread of false information, even though both have different purposes (one if for amusement, the other is to misinform). However, it is not enough to rely purely on text to detect the incongruity between the surface meaning and the actual meaning of the news articles, and, often, other sources of information (e.g., visual) provide an important clue for satire detection. This work introduces a multimodal corpus for satire detection in Romanian news articles named MuSaRoNews. Specifically, we gathered 117,834 public news articles from real and satirical news sources, composing the first multimodal corpus for satire detection in the Romanian language. We conducted experiments and showed that the use of both modalities improves performance.
format Preprint
id arxiv_https___arxiv_org_abs_2504_07826
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle MuSaRoNews: A Multidomain, Multimodal Satire Dataset from Romanian News Articles
Smădu, Răzvan-Alexandru
Iuga, Andreea
Cercel, Dumitru-Clementin
Computation and Language
Satire and fake news can both contribute to the spread of false information, even though both have different purposes (one if for amusement, the other is to misinform). However, it is not enough to rely purely on text to detect the incongruity between the surface meaning and the actual meaning of the news articles, and, often, other sources of information (e.g., visual) provide an important clue for satire detection. This work introduces a multimodal corpus for satire detection in Romanian news articles named MuSaRoNews. Specifically, we gathered 117,834 public news articles from real and satirical news sources, composing the first multimodal corpus for satire detection in the Romanian language. We conducted experiments and showed that the use of both modalities improves performance.
title MuSaRoNews: A Multidomain, Multimodal Satire Dataset from Romanian News Articles
topic Computation and Language
url https://arxiv.org/abs/2504.07826