REGULATION OF SOCIAL MEDIA IMAGERY IN THE AGE OF ARTIFICIAL INTELLIGENCE: CHALLENGES AND FRAMEWORKS

AUTHOR – MOHD AKASH, RESEARCH SCHOLAR, FACULTY OF LEGAL STUDIES, MJP ROHILKHAND UNIVERSITY BAREILLY, UP (INDIA).

BEST CITATION – MOHD AKASH, REGULATION OF SOCIAL MEDIA IMAGERY IN THE AGE OF ARTIFICIAL INTELLIGENCE: CHALLENGES AND FRAMEWORKS, INDIAN JOURNAL OF LEGAL REVIEW (IJLR), 5 (12) OF 2025, PG. 935-940, APIS – 3920 – 0001 & ISSN – 2583-2344

Abstract

Artificial intelligence (AI) has transformed the digital landscape, notably across social media platforms. These platforms have incorporated AI technology into their algorithms to improve user experience. However, the impact of artificial intelligence on social media is debatable. To sustain user confidence, social media platforms should ensure that their AI practices are transparent and ethical. The impact of AI on social media content is considerable and diverse, allowing for personalised content recommendations, automated content development, and real-time content analysis. However, there are also concerns regarding algorithmic bias and the possibility of job displacement. As AI technology advances, it is critical that ethical issues and social responsibility are prioritised in the development and application of AI in social media marketing. The impact of AI on social media posts is a multifaceted problem that has both positive and negative consequences. While AI algorithms can improve the user experience by offering personalised content, there are worries that they may also promote disinformation and create filter bubbles. With the growing development of AI-generated images, ranging from deepfakes to algorithmically augmented visuals, regulating such content presents significant legal, ethical, and technological issues. This article reviews the current frameworks and shortcomings in regulating AI-generated imagery on social media, investigates international and Indian legal methods, evaluates policy solutions, and recommends for a human-rights-based, technologically adaptive regulatory strategy. The goal is to promote accountability, transparency, and user protection against misinformation, privacy infringement, and the abuse of synthetic media.

Keywords:  Artificial Intelligence, Social Media, Content, Impact, Machine Learning, Natural Language Processing, Algorithms, Data Analysis, Personalization, Automation.