Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/fakestack-hierarchical-tri-bert-cnn-lstm-stacked-model-for-effective-fake-news-detection
MLA“FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fakestack-hierarchical-tri-bert-cnn-lstm-stacked-model-for-effective-fake-news-detection.
BibTeX@misc{4ortxyz_fakestack-hierarchical-tri-bert-cnn-lstm-stacked-model-for-effective-fake-news-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection}}, year = {2026}, url = {https://4ort.xyz/entity/fakestack-hierarchical-tri-bert-cnn-lstm-stacked-model-for-effective-fake-news-detection}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection — https://4ort.xyz/entity/fakestack-hierarchical-tri-bert-cnn-lstm-stacked-model-for-effective-fake-news-detection (retrieved 2026-05-24)