Modeling Fake News Detection Using BERT-CNN-BiLSTM Architecture

Research article (2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022) · cited 17× · AI/ML
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Modeling Fake News Detection Using BERT-CNN-BiLSTM Architecture

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Modeling Fake News Detection Using BERT-CNN-BiLSTM Architecture is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Modeling Fake News Detection Using BERT-CNN-BiLSTM Architecture. Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-fake-news-detection-using-bert-cnn-bilstm-architecture
MLA “Modeling Fake News Detection Using BERT-CNN-BiLSTM Architecture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-fake-news-detection-using-bert-cnn-bilstm-architecture.
BibTeX @misc{4ortxyz_modeling-fake-news-detection-using-bert-cnn-bilstm-architecture_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling Fake News Detection Using BERT-CNN-BiLSTM Architecture}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-fake-news-detection-using-bert-cnn-bilstm-architecture}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Modeling Fake News Detection Using BERT-CNN-BiLSTM Architecture — https://4ort.xyz/entity/modeling-fake-news-detection-using-bert-cnn-bilstm-architecture (retrieved 2026-05-24)

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