Research on Content Optimization of Pan-cultural Podcasts Based on Users’ Intention of Utilization

Abstract

As digital technology drives the renaissance of auditory culture, podcasts, as an emerging form of audio media, exhibit distinctive value in reconfiguring the information dissemination paradigm and users’ media usage habits. Pan-cultural podcasts, characterized by their cross-domain content production and in-depth cultural dialogues, have gradually become a significant constituent in the soundscape.

This research takes pan-cultural podcasts as the subject, concentrating on the dynamic adaptation issue between users’ intention of utilization and content optimization. The aim is to disclose the interaction mechanism between the content production logic of podcasts and users’ demands, and ultimately offer a reference for the content ecosystem optimization path of pan-cultural podcasts. In this research, through integrating quantitative text analysis (LDA topic model, word frequency statistics) and qualitative grounded theory (in-depth interviews, three-level coding), the content presentation characteristics, user demands, and behavior patterns of pan-cultural podcasts are systematically deconstructed.

It is discovered that the current content presentation of pan-cultural podcasts mainly features regional and practical content, presenting life narrative and emotional companionship functions. However, there exist problems such as scattered themes and insufficient knowledge density. At the same time, attention is also paid to the output of global issues and structured knowledge, but it faces the contradiction between academic expression and public acceptance. In terms of users’ utilization demands, their intentions are driven by multiple dimensions including cognitive demands (knowledge expansion, skill improvement), emotional demands (companionship, relaxation), social demands (interaction, imitation), and scene adaptation (commuting, fitness).

In response to the above conflicts and fits, this research proposes the content optimization paths of pan-cultural podcasts, including the shift from fragmentation to systematic knowledge supply, precise matching of scene-based content, balancing algorithm empowerment and user co-creation, and integration of technological rationality and emotional resonance, providing theoretical and practical references for the sustainable development of the Chinese podcast ecosystem.