Work

Research on Shenzhen's Urban Image Building in the Era of Short Videos

Year: 2025

Type: article

Abstract: With the rapid development of emerging media technologies, short-video platforms have become a vital means for showcasing urban images. This study employs Python web crawling techniques to collect a total of 2,580 popular TikTok videos from Shenzhen government accounts. Through data statistics and content analysis, it elucidates the release characteristics of these trending videos and proposes strategies for content creation, dissemination, and issue resolution. Content generation strategies include not fixating on video duration, developing unique content, and innovating presentation methods. Strategies for content dissemination involve deconstruction and reconstruction, multi-dimensional creation, and leveraging modern technologies. Problem-solving strategies encompass the use of AI-generated content (AIGC), seizing key events, and establishing iconic locations. These strategies collectively aim to enhance Shenzhen's urban image portrayal in the digital era.

Source: Frontiers in Humanities and Social Sciences

DOI: 10.54691/ez8zks22

Authors: Huayang Zhang, Zhiwei Wang

Institution: Shenzhen Polytechnic University

Language: English

Topic: Media and Digital Communication

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: diamond

Funders: American Indian Graduate Center, Shenzhen Polytechnic, Strong, Jilin Office of Philosophy and Social Science