AI-Driven New Media Interactive Communication Modes and User Stickiness Improvement Strategies

Abstract

Against the background of artificial intelligence technology being fully integrated into the new media industry, the traditional interactive communication modes of new media have gradually failed to meet users’ increasingly personalized, real-time and immersive needs, and the cultivation and improvement of user stickiness has entered a new stage. Taking the in-depth integration of AI technology and new media communication as the main line, this paper systematically analyzes the enabling logic and reform path of AI technology for new media interactive communication by adopting literature research and theoretical construction methods. On the basis of sorting out relevant theoretical foundations, this paper constructs an interactive communication system and a user stickiness improvement framework driven by AI. The research shows that AI technology has fundamentally changed the form and efficiency of new media interaction through core capabilities such as user portrait construction, intelligent content distribution, real-time interactive response and data closed-loop optimization, which can effectively enhance users’ sense of participation, belonging and continuous use intention. Based on technical logic, communication logic and user demand logic, this paper proposes a complete reconstruction plan of interactive communication mode, and puts forward user stickiness improvement strategies from four levels: content supply, interactive experience, social connection and long-term operation. The research can provide theoretical reference and practical basis for new media platforms to optimize communication mechanisms and enhance user retention and platform competitiveness in the intelligent era.