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May 5, 2024International Journal of Science and Research (IJSR)0 citationsOpen Access

Misinformation Detection on Social Media using AI and Machine Learning

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SPSuhas Patil

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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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Suhas Patil (2024) studied this question.

synapsesocial.com/papers/68e6b806b6db6435876397eahttps://doi.org/10.21275/sr24516171319
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Deception detection for news: Three types of fakes2015 · 548 citations
  2. 2A Survey on Natural Language Processing for Fake News Detection2018 · 276 citations
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  5. 5Natural Language Processing based Online Fake News Detection Challenges – A Detailed Review2020 · 31 citations