Role and Importance of Machine Learning in Social Media

Year : 2024 | Volume :11 | Issue : 01 | Page : 23-30
By

    Vaishali Jha

  1. Devendra Kumar Mishra

  2. Kapil Sharma

  3. Ashok Kumar Shrivastava

  4. Samta Jain Goyal

  1. Student, Department of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University, Gwalior, Madhya Pradesh, India
  2. Associate Professor, Department of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University, Gwalior, Madhya Pradesh, India
  3. Associate Professor, Department of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University, Gwalior, Madhya Pradesh, India
  4. Associate Professor, Department of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University, Gwalior, Madhya Pradesh, India
  5. Associate Professor, Department of Computer Science & Engineering, Amity School of Engineering & Technology, Amity University, Gwalior, Madhya Pradesh, India

Abstract

The widespread adoption of social media platforms has transformed the way individuals interact and communicate. Going beyond personal connections, social media has evolved into a potent tool for sharing information, shaping ideas, and fostering participation across various industries. Machine learning is pivotal in enhancing social media’s impact. Social media generates vast data daily, and machine learning is essential for extracting insights. Sentiment analysis, a machine learning application, identifies emotions in social media content, aiding brand tracking and customer insights. Machine learning accurately predicts user behaviour on social platforms, enabling tailored content and personalized recommendations, improving user experiences. It is crucial in social media marketing to optimize ad campaigns by targeting specific demographics, enhancing engagement, and boosting ROI. In addressing social issues, machine learning detects hate speech, false information, and cyberbullying, creating safer online environments and supporting fact-checking efforts. In governance, it tracks public sentiment and informs policymaking. Challenges include privacy, biases, and ethics. As social media evolves, machine learning must adapt to new data sources.

Keywords: Machine learning, social media, demographics, proliferation, sentiment analysis

[This article belongs to Journal of Mobile Computing, Communications & Mobile Networks(jomccmn)]

How to cite this article: Vaishali Jha, Devendra Kumar Mishra, Kapil Sharma, Ashok Kumar Shrivastava, Samta Jain Goyal.Role and Importance of Machine Learning in Social Media.Journal of Mobile Computing, Communications & Mobile Networks.2024; 11(01):23-30.
How to cite this URL: Vaishali Jha, Devendra Kumar Mishra, Kapil Sharma, Ashok Kumar Shrivastava, Samta Jain Goyal , Role and Importance of Machine Learning in Social Media jomccmn 2024 {cited 2024 Apr 03};11:23-30. Available from: https://journals.stmjournals.com/jomccmn/article=2024/view=138385


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Regular Issue Subscription Review Article
Volume 11
Issue 01
Received February 14, 2024
Accepted February 16, 2024
Published April 3, 2024
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