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Research Paper Volume 7 Issue 2 3351 - 3363 April 30, 2024

Role of AI as a Monitoring Tool for Social Media Platforms

Lead author · Corresponding
Deepika Sharma
LLM Graduate from Hidayatullah National Law University, India
Co-author
Prableen Kaur Jhajj
LLM Graduate from Hidayatullah National Law University, India
View PDF Full text DOIhttps://doij.org/10.10000/IJLMH.117389
Abstract

Artificial Intelligence (“AI”) technology represents a very cutting-edge innovative technology that is still complex and opaque to most of us. Nonetheless, this technology has found a stronghold in almost every sector thanks to its ability to streamline processes, enhance decision-making, and eliminate tedious tasks. AI has enabled social media to become much more user-friendly and intuitive, with features like facial recognition, image tagging, and speech recognition. The use of AI technology as a monitoring tool on various Social Media Platforms (“SMPs”) is also one of the most important features of the technology. As a result of these platforms' extremely dynamic nature and massive data generation, regulating them presents one of the biggest challenges of the contemporary era. AI provides SMPs with the ability to check user activity, identify any potential breaches or violations of their terms and conditions, and restrict user’s access to content that is deemed inappropriate or harmful. AI technology can, therefore, become an indispensable resource for SMPs and can become an invaluable tool in helping these platforms provide safe and enjoyable experience for their user base.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 7, Issue 2, Page 3351 - 3363
DOI: https://doij.org/10.10000/IJLMH.117389
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
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Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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