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Williams, D. and Patel, N. (2023) Echo Chambers and Filter Bubbles: The Unintended Consequences of AI-Driven Content Recommendation. New Media & Society, 25, 1123-1142.

has been cited by the following article:

• TITLE: Beyond Algorithms: A Comprehensive Analysis of AI-Driven Personalization in Strategic Communications

  AUTHORS: Natalie Nkembuh

  KEYWORDS: Artificial Intelligence (AI), Strategic Communications, Personalization, Machine Learning, Natural Language Processing (NLP), Customer Engagement, Data Analytics, Digital Marketing, Audience Segmentation, Communication Effectiveness, AI Ethics, Conversion Optimization, Predictive Analytics, Content Personalization, Marketing Automation

  JOURNAL NAME: Journal of Computer and Communications, Vol.12 No.10, October 24, 2024

  ABSTRACT: This comprehensive study investigates the multifaceted impact of AI-powered personalization on strategic communications, delving deeply into its opportunities, challenges, and future directions. Employing a rigorous mixed-methods approach, we conduct an in-depth analysis of the effects of AI-driven personalization on audience engagement, brand perception, and conversion rates across various industries and communication channels. Our findings reveal that while AI-powered personalization significantly enhances communication effectiveness and offers unprecedented opportunities for audience connection, it also raises critical ethical considerations and implementation challenges. The study contributes substantially to the growing body of literature on AI in communications, offering both theoretical insights and practical guidelines for professionals navigating this rapidly evolving landscape. Furthermore, we propose a novel framework for ethical AI implementation in strategic communications and outline a robust agenda for future research in this dynamic field.