MuSaRoNews: A Multidomain, Multimodal Satire Dataset from Romanian News Articles
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866912319632572416 |
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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 |