Debunking Disinformation: Revolutionizing Truth with NLP in Fake News Detection

Li He, Siyi Hu, Ailun Pei
8/30/2023
cs.AI

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Abstract

The Internet and social media have altered how individuals access news in the age of instantaneous information distribution. While this development has increased access to information, it has also created a significant problem: the spread of fake news and information. Fake news is rapidly spreading on digital platforms, which has a negative impact on the media ecosystem, public opinion, decision-making, and social cohesion. Natural Language Processing(NLP), which offers a variety of approaches to identify content as authentic, has emerged as a potent weapon in the growing war against disinformation. This paper takes an in-depth look at how NLP technology can be used to detect fake news and reveals the challenges and opportunities it presents.

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Cite this paper

@article{he2023debunking,
  title  = {Debunking Disinformation: Revolutionizing Truth with NLP in Fake News Detection},
  author = {Li He and Siyi Hu and Ailun Pei},
  year   = {2023},
  eprint = {2308.16328},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2308.16328v2}
}

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