Debunking Disinformation: Revolutionizing Truth with NLP in Fake News Detection

• URL: http://arxiv.org/abs/2308.16328v2
• Date: Wed, 15 Nov 2023 20:56:25 GMT
• Title: Debunking Disinformation: Revolutionizing Truth with NLP in Fake News Detection
• Authors: Li He, Siyi Hu, Ailun Pei
• Abstract summary: The Internet and social media have altered how individuals access news in the age of instantaneous information distribution. Fake news is rapidly spreading on digital platforms, which has a negative impact on the media ecosystem. Natural Language Processing has emerged as a potent weapon in the growing war against disinformation.
• Score: 7.732570307576947
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• 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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