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

作　　者：Natalie Nkembuh Natalie Nkembuh(Department of Communication, European International University, Paris, France)

机构地区：[1]Department of Communication, European International University, Paris, France

出　　处：《Journal of Computer and Communications》2024年第10期112-131,共20页电脑和通信（英文）

摘　　要：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.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.

关 键 词：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 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]