Paper Title
A comparative analysis of logistic regression and decision tree for fake news detection
Article Identifiers
Authors
Sonal Vinayak Kasare , Yash Arun Mali
Keywords
survey, identification, dataset, actual news, fake news kinds.
Abstract
One may easily claim that in modern society, news and information are valued more highly than actual currency. This news must be reported in its original, unadulterated form, which is rarely the case. causing us to urgently need to distinguish between legitimate news and any potential fake news. Since news is a type of information, the sources and justifications for its veracity may vary. With the aid of one's intrinsic ability to infer logic and the ludicrous source of the information piece, one may readily distinguish actual news from fake news as a human. Just a few reliable sources are required to check for facts and misconceptions. But some software that can stop such "fake news" in its tracks in real time is desperately needed. causing it to rank among the areas that receive the most investigation today. To find a real-time solution for such a problem, researchers from all over the world are focusing a lot of attention on this field, which is primarily a component of information retrieval. We verified and analyzed numerous research publications as well as numerous survey articles for this post. This article discusses the difficulties one has when conducting research in this particular area as well as some potential future implications.
Downloads
How To Cite (APA)
Sonal Vinayak Kasare & Yash Arun Mali (July-2023). A comparative analysis of logistic regression and decision tree for fake news detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(7), a681-a695. https://ijnrd.org/papers/IJNRD2307084.pdf
Issue
Volume 8 Issue 7, July-2023
Pages : a681-a695
Other Publication Details
Paper Reg. ID: IJNRD_199502
Published Paper Id: IJNRD2307084
Downloads: 000122013
Research Area: Information TechnologyÂ
Country: Mumbai, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2307084.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307084
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
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
Publication Timeline
Article Preview: View Full Paper
Call For Paper
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?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-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
