An empiric validation of linguistic features in machine learning models for fake news detection

Research article (Data & Knowledge Engineering, 2023) · cited 24× · AI/ML
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An empiric validation of linguistic features in machine learning models for fake news detection

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An empiric validation of linguistic features in machine learning models for fake news detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An empiric validation of linguistic features in machine learning models for fake news detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empiric-validation-of-linguistic-features-in-machine-learning-models-for-fake-news-detection
MLA “An empiric validation of linguistic features in machine learning models for fake news detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empiric-validation-of-linguistic-features-in-machine-learning-models-for-fake-news-detection.
BibTeX @misc{4ortxyz_an-empiric-validation-of-linguistic-features-in-machine-learning-models-for-fake-news-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An empiric validation of linguistic features in machine learning models for fake news detection}}, year = {2026}, url = {https://4ort.xyz/entity/an-empiric-validation-of-linguistic-features-in-machine-learning-models-for-fake-news-detection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An empiric validation of linguistic features in machine learning models for fake news detection — https://4ort.xyz/entity/an-empiric-validation-of-linguistic-features-in-machine-learning-models-for-fake-news-detection (retrieved 2026-05-24)

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