mlsanityData to 7 Oct 2026

Machine Learning Technique Based Fake News Detection

arXiv 2309.13069 ↗First posted 18 Sep 2023cs.CL cs.LGcited by 0

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Abstract (arXiv)

False news has received attention from both the general public and the scholarly world. Such false information has the ability to affect public perception, giving nefarious groups the chance to influence the results of public events like elections. Anyone can share fake news or facts about anyone or anything for their personal gain or to cause someone trouble. Also, information varies depending on the part of the world it is shared on. Thus, in this paper, we have trained a model to classify fake and true news by utilizing the 1876 news data from our collected dataset. We have preprocessed the data to get clean and filtered texts by following the Natural Language Processing approaches. Our research conducts 3 popular Machine Learning (Stochastic gradient descent, Na"ive Bayes, Logistic Regression,) and 2 Deep Learning (Long-Short Term Memory, ASGD Weight-Dropped LSTM, or AWD-LSTM) algorithms. After we have found our best Naive Bayes classifier with 56% accuracy and an F1-macro score of an average of 32%.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 12 of its 31 references that are in the map. First posted on arXiv 18 Sep 2023.

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References · 12

  1. 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
  2. 2017Regularizing and Optimizing LSTM Language Modelscited by 205
  3. 2020fastai: A Layered API for Deep Learningcited by 183
  4. 2017Stochastic gradient descent performs variational inference, converges to limit cycles for deep networkscited by 108
  5. 2017CSI: A Hybrid Deep Model for Fake News Detectioncited by 101
  6. 2023The science of fake newscited by 94
  7. 2018A modern maximum-likelihood theory for high-dimensional logistic regressioncited by 79
  8. 2020FakeCovid -- A Multilingual Cross-domain Fact Check News Dataset for COVID-19cited by 60
  9. 2020An Exploratory Study of COVID-19 Misinformation on Twittercited by 33
  10. 2016Sequential Short-Text Classification with Recurrent and Convolutional Neural Networkscited by 28
  11. 2020Large Scale Legal Text Classification Using Transformer Modelscited by 18
  12. 2018A Deep Learning Approach for Multimodal Deception Detectioncited by 14

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