Paper Title

Fake news detection and fact verification using machine learning

Article Identifiers

Registration ID: IJNRD_188402

Published ID: IJNRD2303150

DOI: Click Here to Get

Authors

Tushar Sonawane , Aditya Bhadale , Shubham Karale , Ajit Vaykule , Mayuri Vengurlekar

Keywords

smartphone, disaster alert, remote sensing, GPS, PS

Abstract

There are many ways one could effort to observe fake or partial intelligence on the internet. However, we awareness our execution based on stance detection soured the sterling flexibility and are dependability without having to get into the garment of labeling individual assertion as true or false. Rather we purpose for a more general movement classifying articles from chartless sources as mostly agreeing or generally disagree with sources of known (high and low) credibility. Moreover, our implementation is particularly compelling because we can evaluate user input as either a link to an article OR as any absolute claim to be fact restrained like (Obama is not a US citizen). In this way our system acts as a fact-finding activity engine and twist links to applicable articles along with that article’s stance (agree/disagree/is-neutral) on that topic! Our program offers enormous investigation and discovery possible to users as well as merely checking assertion. We wanted to make an easy-to-use system to detect the believability of a user’s claim or article, based on the thought of stance detection.

How To Cite (APA)

Tushar Sonawane, Aditya Bhadale, Shubham Karale, Ajit Vaykule, & Mayuri Vengurlekar (March-2023). Fake news detection and fact verification using machine learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(3), b437-b441. https://ijnrd.org/papers/IJNRD2303150.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : b437-b441

Other Publication Details

Paper Reg. ID: IJNRD_188402

Published Paper Id: IJNRD2303150

Downloads: 000121115

Research Area: Computer Engineering 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303150.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303150

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

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

Call For Paper

Call For Paper - Volume 10 | Issue 9 | September 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: September 2025

Current Issue: Volume 10 | Issue 9 | September 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 30-Sep-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details