Detecting Fake News Using Deep Learning and NLP

Author:

Sadasivam Uma Maheswari1ORCID,Ganesan Nitin2

Affiliation:

1. BITS Pilani (Off Campus), India

2. Madras Christian College, India

Abstract

Fake news is the word making more talk these days be it election, COVID 19 pandemic, or any social unrest. Many social websites have started to fact check the news or articles posted on their websites. The reason being these fake news creates confusion, chaos, misleading the community and society. In this cyber era, citizen journalism is happening more where citizens do the collection, reporting, dissemination, and analyse news or information. This means anyone can publish news on the social websites and lead to unreliable information from the readers' points of view as well. In order to make every nation or country safe place to live by holding a fair and square election, to stop spreading hatred on race, religion, caste, creed, also to have reliable information about COVID 19, and finally from any social unrest, we need to keep a tab on fake news. This chapter presents a way to detect fake news using deep learning technique and natural language processing.

Publisher

IGI Global

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Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of Online Fake News Using Machine Learning Techniques;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

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