HARNESSING ARTIFICIAL INTELLIGENCE IN DIGITAL MEDIA MARKETING: SYNERGY WITH MODERN SOCIAL MEDIA ALGORITHMS

Authors

  • Anoshfa Mehaq
  • Dr. Benish Khan
  • Hasan Minhaj

Abstract

Artificial Intelligence (AI) has emerged as a pivotal catalyst in the evolution of digital media marketing, revolutionizing how brands interact with audiences across social media platforms. As the algorithms underpinning platforms like Facebook, Instagram, TikTok, and X (formerly Twitter) become increasingly intelligent, they now prioritize hyper-personalized user experiences, micro-targeted content delivery, and adaptive engagement mechanisms. This transformation challenges marketers to shift from traditional campaign models to data-driven, algorithm-informed strategies. AI enables precise audience segmentation, real-time behavioral analysis, and automated content customization—creating scalable pathways for brand visibility and consumer conversion. Furthermore, the integration of AI tools such as predictive analytics, sentiment analysis, and natural language processing allows for deeper insights into consumer preferences and trends. This paper investigates the symbiotic dynamic between AI technologies and contemporary algorithmic infrastructures of social media, evaluating their combined impact on marketing efficacy, consumer psychology, and digital brand storytelling. In doing so, it also addresses the ethical implications of algorithmic personalization and the necessity for marketers to balance innovation with responsible data stewardship.

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Published

2025-08-03

How to Cite

Anoshfa Mehaq, Dr. Benish Khan, & Hasan Minhaj. (2025). HARNESSING ARTIFICIAL INTELLIGENCE IN DIGITAL MEDIA MARKETING: SYNERGY WITH MODERN SOCIAL MEDIA ALGORITHMS. Journal of Management Science Research Review, 4(3), 337–354. Retrieved from https://www.jmsrr.com/index.php/Journal/article/view/73