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Fake News Detection using Deep Recurrent Neural Networks

Research article (2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2020) · cited 27× · AI/ML
academia openalex:W3127455518
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Fake News Detection using Deep Recurrent Neural Networks

Summary

Fake News Detection using Deep Recurrent Neural Networks is a scholarly article[1].

Key Facts

  • Fake News Detection using Deep Recurrent Neural Networks's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Fake News Detection using Deep Recurrent Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/fake-news-detection-using-deep-recurrent-neural-networks
MLA “Fake News Detection using Deep Recurrent Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fake-news-detection-using-deep-recurrent-neural-networks.
BibTeX @misc{4ortxyz_fake-news-detection-using-deep-recurrent-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fake News Detection using Deep Recurrent Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/fake-news-detection-using-deep-recurrent-neural-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fake News Detection using Deep Recurrent Neural Networks — https://4ort.xyz/entity/fake-news-detection-using-deep-recurrent-neural-networks (retrieved 2026-05-24)

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