Detecting Fake News Using Deep Learning and NLP

Detecting Fake News Using Deep Learning and NLP

Uma Maheswari Sadasivam, Nitin Ganesan
Copyright: © 2021 |Pages: 17
DOI: 10.4018/978-1-7998-4900-1.ch007
OnDemand:
(Individual Chapters)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

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.
Chapter Preview
Top

Analysis: How To Determine Fake News

There are many factors that determine if the news is fake or not and are discussed in detail as follows. In this paper a benchmark for the dataset is set and is also the highlight of the work.

  • i.

    Checking on the authority of the news

Complete Chapter List

Search this Book:
Reset