Fake News Detection with Different Models
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Abstract (arXiv)
This is a paper for exploring various different models aiming at developing fake news detection models and we had used certain machine learning algorithms and we had used pretrained algorithms such as TFIDF and CV and W2V as features for processing textual data.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Feb 2020.
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Citing papers per year: 2022: 2; 2023: 1.
3 papers.
- 2022A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publicationscited by 18
- 2023Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agentscited by 1
- 2022Development of Fake News Model using Machine Learning through Natural Language Processingcited by 0
- 2023Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agents16 Nov 2023
- 2022A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publications4 Feb 2022
- 2022Development of Fake News Model using Machine Learning through Natural Language Processing19 Jan 2022