 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Machine Learning Algorithm for Fake News Detection |
| Authors Name: | Muntasir Khan , K. Karthik , M. Sushmasri , V. Kalpana |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_201997
|
| Published Paper Id: | IJRTI2504019 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | The rise of digital media has led to an unprecedented spread of misinformation, making fake news a significant challenge in today's society. The Fake News Detection System is developed to address this issue by leveraging machine learning techniques to classify news articles as either legitimate or fake. The system follows a structured approach, starting with data collection, where real and fake news articles are gathered from reliable sources. The collected data undergoes pre-processing, including text cleaning, tokenization, and vectorization using the Term Frequency-Inverse Document Frequency (TF-IDF) method. A machine learning model, specifically Logistic Regression, is then trained on this processed data to classify news articles with high accuracy. Additionally, an interactive Graphical User Interface (GUI) is integrated into the system, allowing users to input news content and receive an instant classification result. This system provides an effective tool for combating misinformation by helping users identify unreliable news sources, contributing to a more informed digital environment. |
| Keywords: | Python, Packages, Machine Learning, Supervised Learning, TF-IDF. |
| Cite Article: | "Machine Learning Algorithm for Fake News Detection", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.a152-a157, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504019.pdf |
| Downloads: | 000410 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2504019
Registration ID:201997
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: a152-a157 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504019 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504019 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||