Fake News Detection using Machine Learning
Drishti Parijat , Rachana DR, Shivani Kumari , Awanttika Singh
Fake news, Social media, algorithms.
It is difficult to estimate the exact percentage of news that is fake nowadays as it varies depending on the source and type of news. However, studies have shown that the jump of fake news is a significant problem nowadays due to the ease of creation and sharing information on publicly accessible online platforms. Social media platforms play a significant role in exacerbating this problem either directly or indirectly, with algorithms that prioritize engagement and the sharing of sensational content contributing to the problem. In addition, political polarization and the rise of disinformation campaigns have further exacerbated the spread of fake news. While there are constant efforts to combat the spread of fake news, it remains a pervasive issue that requires continued attention and vigilance.
Article Details
Unique Paper ID: 158993

Publication Volume & Issue: Volume 9, Issue 11

Page(s): 130 - 137
Article Preview & Download

Share This Article

Conference Alert


AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management


Last Date: 7th November 2023

Go To Issue

Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews