Graph convolution networks for social media trolls detection use deep feature extraction
Abstract This study presents a novel approach to identifying trolls and toxic content on social media using deep learning. We developed a machine-learning model capable of detecting toxic images through their embedded text content. Our approach leverages GloVe word embeddings to enhance the model's...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
SpringerOpen
2024-02-01
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| Col·lecció: | Journal of Cloud Computing: Advances, Systems and Applications |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s13677-024-00600-4 |
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