Fake News Detection Using Deep Learning Technique's

Registration ID: IJNRD_219829

Published ID: IJNRD2404870

DOI: Click Here to Get

Jigar Purohit , Dr. Vikas Tulshyan , Prof. Jalpa Shah

Deep Learning, Fake News Detection, CNN, RNN

In terms of politics, the economy and society at large, false information has proliferated within the past few years. Social media networking has been deeply ingrained in these aspects, which has helped. People have been found to be greatly influenced by Facebook and Twitter in terms of their behaviour. Consumers base their purchasing decisions on news and information shared on social media platforms of their choice. Additionally, the social harmony and economic stability of a nation are greatly impacted by the news that is shared on popular and mainstream media outlets. The feasibility of creating a system that can reliably and efficiently detect and identify fake news is the primary issue this research is attempting to address. The media sector, especially social media, where a lot of fake information is created and disseminated, would greatly benefit from a solution. This project suggested creating a deep learning fake news recognition system as a means of solving this issue. This study uses a dataset from Kaggle data to investigate the detection of false news using the Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) techniques. This study uses GloVe (Global Vector), a type of feature expansion, to get the best results possible.

Published Paper   E-Certificate

Jigar Purohit, Dr. Vikas Tulshyan, & Prof. Jalpa Shah (April-2024). Fake News Detection Using Deep Learning Technique's . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), i622-i629. https://ijnrd.org/papers/IJNRD2404870.pdf

Volume 9 Issue 4, April-2024

Pages : i622-i629

Paper Reg. ID: IJNRD_219829

Published Paper Id: IJNRD2404870

Downloads: 000121982

Research Area: Computer Engineering 

Country: Bhuj, Gujarat, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404870.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404870

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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