An interpretable model to measure fakeness and emotion in news

Research article (Procedia Computer Science, 2020) · cited 18× · AI/ML
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An interpretable model to measure fakeness and emotion in news

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An interpretable model to measure fakeness and emotion in news is a scholarly article[1].

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  • An interpretable model to measure fakeness and emotion in news's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). An interpretable model to measure fakeness and emotion in news. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-model-to-measure-fakeness-and-emotion-in-news
MLA “An interpretable model to measure fakeness and emotion in news.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-model-to-measure-fakeness-and-emotion-in-news.
BibTeX @misc{4ortxyz_an-interpretable-model-to-measure-fakeness-and-emotion-in-news_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable model to measure fakeness and emotion in news}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-model-to-measure-fakeness-and-emotion-in-news}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable model to measure fakeness and emotion in news — https://4ort.xyz/entity/an-interpretable-model-to-measure-fakeness-and-emotion-in-news (retrieved 2026-05-24)

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