FAKE NEWS DETECTION USING NATURAL LANGUAGE PROCESSING

Dr.Harish B G , Mr. Chetan Kumar G S , Manjunath C M , Mohan N J

Online social media plays an important role during real world events such as natural calamities, election s, social movements etc. Since the social media usage has increased, fake news has grown. The social media is often used by modifying true news or creating fake news to spread misinformation. The creation and distribution of fake news poses major threats in several respects from a national security point of view. Hence Fake news identification becomes an essential goal for enhancing the trustworthiness of the information shared on online social network. Over the period of time many researchers has used different methods, algorithms, tools and techniques to identify fake news content from online social networks. The aim of this paper is to review and examine these methodologies, different tools, browser extensions and analyze the degree of output in question. In addition, this paper discusses the general approach of fake news detection as well as taxonomy of feature extraction which plays an important role to achieve maximum accuracy with the help of different Machine Learning and Natural Language Processing algorithms.

Published Paper   E-Certificate

"FAKE NEWS DETECTION USING NATURAL LANGUAGE PROCESSING", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 9, page no.396 - 404, September-2023, Available :https://ijsdr.org/papers/IJSDR2309062.pdf

Volume 8 Issue 9, September-2023

Pages : 396 - 404

Paper Reg. ID: IJSDR_208516

Published Paper Id: IJSDR2309062

Downloads: 000347066

Research Area: Master of Computer Application 

Country: Davanagere, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2309062

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2309062

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition