Fake news detection and fact verification using machine learning

Fake news detection and fact verification using machine learning

Registration ID: IJNRD_188402

Published ID: IJNRD2303150

DOI: Click Here to Get

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

smartphone, disaster alert, remote sensing, GPS, PS

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.

Published Paper   E-Certificate

"Fake news detection and fact verification using machine learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.b437-b441, March-2023, Available :https://ijnrd.org/papers/IJNRD2303150.pdf

Volume 8 Issue 3, March-2023

Pages : b437-b441

Paper Reg. ID: IJNRD_188402

Published Paper Id: IJNRD2303150

Downloads: 000121088

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

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

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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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