Paper Title

Fake News Detection Using Deep Learning Technique's

Article Identifiers

Registration ID: IJNRD_219829

Published ID: IJNRD2404870

DOI: Click Here to Get

Authors

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

Keywords

Deep Learning, Fake News Detection, CNN, RNN

Abstract

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.

How To Cite

"Fake News Detection Using Deep Learning Technique's ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.i622-i629, April-2024, Available :https://ijnrd.org/papers/IJNRD2404870.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : i622-i629

Other Publication Details

Paper Reg. ID: IJNRD_219829

Published Paper Id: IJNRD2404870

Downloads: 000121180

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

About Publisher

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

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

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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