UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIRFN06051


Registration ID:
403974

Page Number

307-311

Share This Article


Jetir RMS

Title

FAKE NEWS DETECTION USING MACHINE LEARNING EMPLOYING RANDOM FOREST ALGORITHM

Abstract

The advent of World Wide Web and therefore the rapid adoption of social media platforms paved the way for information dissemination. Nowadays lots of data is being shared over social media and that we aren't able to differentiate between which information is fake and which is real. People immediately start expressing their concern or sharing their opinion as soon as they are available across a post, without verifying its authenticity. This further ends up in spreading of it. Fake news and rumours are the foremost popular styles of false and unauthenticated information and may be detected as soon as possible for avoiding their dramatic consequences.

Key Words

dissemination, fake news, social media

Cite This Article

"FAKE NEWS DETECTION USING MACHINE LEARNING EMPLOYING RANDOM FOREST ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.307-311, June-2022, Available :http://www.jetir.org/papers/JETIRFN06051.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"FAKE NEWS DETECTION USING MACHINE LEARNING EMPLOYING RANDOM FOREST ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp307-311, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06051.pdf

Publication Details

Published Paper ID: JETIRFN06051
Registration ID: 403974
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 307-311
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000306

Print This Page

Current Call For Paper

Jetir RMS