INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Deep Learning, Fake News Detection, CNN, RNN
Cite Article:
"Fake News Detection Using Deep Learning Technique's ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.i622-i629, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404870.pdf
Downloads:
00035
ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Facebook Twitter Instagram LinkedIn