Fake News Detection using Machine Learning

Fake News Detection using Machine Learning
Author(s):
Drishti Parijat , Rachana DR, Shivani Kumari , Awanttika Singh
Keywords:
Fake news, Social media, algorithms.
Abstract
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
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