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Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM)

Research article (IEEE Access, 2020) · cited 323× · AI/ML
academia openalex:W3080295236
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Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM)

Summary

Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM) is a scholarly article[1].

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  • Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM)'s instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM). Retrieved May 24, 2026, from https://4ort.xyz/entity/fake-news-stance-detection-using-deep-learning-architecture-cnn-lstm
MLA “Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fake-news-stance-detection-using-deep-learning-architecture-cnn-lstm.
BibTeX @misc{4ortxyz_fake-news-stance-detection-using-deep-learning-architecture-cnn-lstm_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM)}}, year = {2026}, url = {https://4ort.xyz/entity/fake-news-stance-detection-using-deep-learning-architecture-cnn-lstm}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM) — https://4ort.xyz/entity/fake-news-stance-detection-using-deep-learning-architecture-cnn-lstm (retrieved 2026-05-24)

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