Social Media False Information Detection Based on AI and Machine Learning

Authors

  • Anindita Dey Senior Program Manager, Strategy and Analytics at Meta

DOI:

https://doi.org/10.53469/jssh.2025.7(07).01

Keywords:

Misinformation, fake news, detection, prevention, social media, deep learning

Abstract

The ubiquity of social media platforms presents both unprecedented opportunities and challenges. The world is evolving rapidly, and what is true one minute may or may not be accurate the next minute. There is vast amount of information out there and people may believe something is true when it is not. It is easy to create and modify text, images and even videos that may be used to spread misinformation. It may prove fatal in some cases. It is pivotal to stop the spread and remove misinformation that can potentially be consumed and spread across the globe. Therefore, there is a need to develop some mechanism to combat misinformation and fake news on the social media platforms. AI and ML plays a pivotal role in detecting misinformation or fake news as they can analyze data, identify trends and patterns of misinformation.

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Published

2025-07-31

How to Cite

Dey, A. (2025). Social Media False Information Detection Based on AI and Machine Learning. Journal of Social Science and Humanities, 7(7), 1–3. https://doi.org/10.53469/jssh.2025.7(07).01

Issue

Section

Articles