Artificial Intelligence Empowering Publicity Management in Colleges and Universities: Innovative Paths and Practical Research

Abstract

In the context of media convergence and the digital transformation of education, publicity management in colleges and universities is confronted with practical predicaments such as content homogeneity, insufficient communication accuracy, low efficiency, and lagging public opinion response. As an important bridge connecting colleges and universities with teachers, students and society, the quality of publicity work directly affects the brand image, educational effectiveness and social influence of colleges and universities. Artificial intelligence technology, with its core strengths such as data mining, intelligent generation, precise push, and real-time monitoring, offers a new opportunity for the innovative development of publicity management in colleges and universities. This paper first presents innovative practical ideas for the deep integration of artificial intelligence and publicity management. Then, from a theoretical perspective, it reviews the core logic and practical predicaments of artificial intelligence empowering publicity management in colleges and universities, explores scientifically feasible integration paths, and demonstrates its application value through case studies, providing theoretical references and practical lessons for the digital and intelligent upgrade of publicity management work in colleges and universities. Help to enhance the dissemination, guidance, influence and credibility of publicity work in colleges and universities.