Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning

Research article (Proceedings of the Brazilian Symposium on Multimedia and the Web, 2021) · cited 14× · AI/ML
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Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning

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Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning is a scholarly article[1].

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  • Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-textual-representations-from-multiple-modalities-to-detect-fake-news-through-one-class-learning
MLA “Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-textual-representations-from-multiple-modalities-to-detect-fake-news-through-one-class-learning.
BibTeX @misc{4ortxyz_learning-textual-representations-from-multiple-modalities-to-detect-fake-news-through-one-class-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning}}, year = {2026}, url = {https://4ort.xyz/entity/learning-textual-representations-from-multiple-modalities-to-detect-fake-news-through-one-class-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning Textual Representations from Multiple Modalities to Detect Fake News Through One-Class Learning — https://4ort.xyz/entity/learning-textual-representations-from-multiple-modalities-to-detect-fake-news-through-one-class-learning (retrieved 2026-05-24)

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