Research on Shenzhen's Urban Image Building in the Era of Short Videos
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.
Authors
- H Zhang
- Zhiwei Wang (ORCID: https://orcid.org/0000-0002-1612-8573)
Institutions
- Shenzhen Polytechnic University (CN)
Publication Details
- Journal
- Frontiers in Humanities and Social Sciences
- Published
- 2025-06-18
- DOI
- https://doi.org/10.54691/ez8zks22
- Primary Topic
- Digital Media and Visual Art
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- American Indian Graduate Center
- Shenzhen Polytechnic
- Strong
- Jilin Office of Philosophy and Social Science