Fake News Spreaders Detection: Sometimes Attention Is Not All You Need
Guided by a corpus linguistics approach, in this article we present a comparative evaluation of State-of-the-Art (SotA) models, with a special focus on Transformers, to address the task of Fake News Spreaders (i.e., users that share Fake News) detection. First, we explore the reference multilingual...
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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2022-09-01
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| Серія: | Information |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/2078-2489/13/9/426 |
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