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Debunking Disinformation: Revolutionizing Truth with NLP in Fake News Detection

arXiv 2308.16328 ↗First posted 30 Aug 2023cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 18 references that are in the map. First posted on arXiv 30 Aug 2023.

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References · 2

  1. 2017Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a surveycited by 91
  2. 2020Sentiment Analysis Based on Deep Learning: A Comparative Studycited by 37

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