Corpus ID: 53296658

A Survey on Natural Language Processing for Fake News Detection

@inproceedings{Oshikawa2020ASO,
  title={A Survey on Natural Language Processing for Fake News Detection},
  author={Ray Oshikawa and Jing Qian and William Yang Wang},
  booktitle={LREC},
  year={2020}
}
Fake news detection is a critical yet challenging problem in Natural Language Processing (NLP. [...] Key Method We systematically review the datasets and NLP solutions that have been developed for this task. We also discuss the limits of these datasets and problem formulations, our insights, and recommended solutions.Expand
Fake news detection using discourse segment structure analysis
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This paper presents comprehensive literature to highlight fake news issues and available datasets such as Facebook, Twitter, and Weibo and discusses the available solutions and algorithms such as naive based, NLP techniques, artificial intelligence algorithms. Expand
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Experiments conducted on two real-world datasets indicate the proposed method can outperform the state-of-the-art and enable fake news early detection when there is limited content information. Expand
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The proposed approach makes use of the recent success of fact verification models and enables zero-shot fake news detection, alleviating the need of large scale training data to trainfake news detection models. Expand
Detecting Fake News Using Deep Learning and NLP
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This chapter presents a way to detect fake news using deep learning technique and natural language processing. Expand
A Novel Stacking Approach for Accurate Detection of Fake News
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The proposed novel stacking model, which achieved testing accuracy of 99.94% and 96.05 % respectively on the ISOT dataset and KDnugget dataset, is high as compared to baseline methods and highly recommend it for fake news detection. Expand
A System for Fake News Detection by using Supervised Learning Model for Social Media Contents
The evolution of ICTs has dramatically increased the number of people with internet access, which has altered the way the information is consumed. As a result, fake news has become one of the mainExpand
A benchmark study of machine learning models for online fake news detection
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BERT and similar pre-trained models perform the best for fake news detection, especially with very small dataset, and these models are significantly better option for languages with limited electronic contents, i.e., training data. Expand
An Interpretable Approach to Fake News Detection
Misinformation has long been a tool for political in uence, but it has taken a new form in the information age: fake news. After exploding into public consciousness during the 2016 United StatesExpand
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