📞 +91-7667918914 | ✉️ iarjset@gmail.com
International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
IARJSET aligns to the suggestive parameters by the latest University Grants Commission (UGC) for peer-reviewed journals, committed to promoting research excellence, ethical publishing practices, and a global scholarly impact.
← Back to VOLUME 10, ISSUE 6, JUNE 2023

False Data Prediction On Social Media Using Machine Learning

Pranita Balwadkar

👁 1 view📥 0 downloads
Share: 𝕏 f in

Abstract: Internet is one of the most significant inventions, and many people utilise it. These people employ it for various functions. These users have access to a variety of social networking channels. Through these internet platforms, every user can submit something or share a story.These sites don't check the content that users publish, so some individuals try to propagate false information on them. These false reports may serve as propaganda against a specific person, group, company, or political party. A person cannot discern all of these false reports. Therefore, there is a need for machine learning classifiers that can automatically identify these phoney news. This comprehensive literature review describes the use of machine learning classifiers for detecting false news.

Keywords: Online fake news, text classification, machine learning, fake news, social media

How to Cite:

[1] Pranita Balwadkar, “False Data Prediction On Social Media Using Machine Learning,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2023.10645

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.