I-S2FND: a novel interpretable self-ensembled semi-supervised model based on transformers for fake news detection
One of the serious consequences of social media usage is fake information dissemination that locomotes society towards negativity. Existing solutions focus on supervised fake news detection models, which requires extensive labelled data. In this paper, we deal with two different problems of fake new...
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Veröffentlicht in: | Journal of intelligent information systems 2024-04, Vol.62 (2), p.355-375 |
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Sprache: | eng |
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