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Artificial Intelligence in Social Media Platforms

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Volume-10 | Advances in Computer Applications and Information Technology

Last date : 25-Feb-2026

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Artificial Intelligence in Social Media Platforms


Sejal Shendea | Anjana Bhabhdab



Sejal Shendea | Anjana Bhabhdab "Artificial Intelligence in Social Media Platforms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advances in Computer Applications and Information Technology, March 2026, pp.73-79, URL: https://www.ijtsrd.com/papers/ijtsrd101709.pdf

Artificial Intelligence (AI) has become a transformative technology that significantly influences the functioning and growth of modern social media platforms. Platforms such as Facebook, Instagram, YouTube, Twitter, and LinkedIn manage billions of active users who continuously generate vast amounts of structured and unstructured data, including posts, images, videos, comments, and real-time interactions. Managing and analysing this massive volume of data manually is impractical; therefore, AI-driven systems are deployed to efficiently process, organize, and interpret user-generated content. Machine learning algorithms play a critical role in examining user activities such as likes, shares, watch time, scrolling patterns, and search history. By identifying hidden patterns and behavioural trends, these algorithms enable platforms to predict user preferences and deliver personalized content through intelligent recommendation systems. This personalization enhances user engagement, increases platform retention rates, and improves overall user experience. Furthermore, AI-powered recommendation engines and predictive analytics support targeted advertising strategies by matching advertisements with user interests and online behavior. This not only enhances marketing effectiveness and conversion rates but also strengthens the commercial sustainability of social media platforms. Hence, AI has transformed social media into a data-driven, automated, and highly interactive digital ecosystem that continuously evolves based on user behavior and intelligent decision-making systems.

Artificial Intelligence (AI), Social Media Platforms, Machine Learning Algorithms, User Behaviour Analysis, Content Personalization, Recommendation Systems, Data Analytics, Big Data Processing, User Engagement, Targeted Advertising, Predictive Analytics, Intelligent Automation, Digital Ecosystem, Behavioural Pattern Recognition, Marketing Optimization.


IJTSRD101709
Special Issue | Advances in Computer Applications and Information Technology, March 2026
73-79
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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