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Social Media Users’ Visual and Emotional Preferences of Internet-Famous Sites in Urban Riverfront Public Spaces: A Case Study in Changsha, China

Author

Listed:
  • Yuanyuan Huang

    (School of Architecture and Art, Central South University, Changsha 410083, China
    Hunan Provincial Architecture Design Institute, Changsha 410012, China)

  • Bohong Zheng

    (School of Architecture and Art, Central South University, Changsha 410083, China)

Abstract

With the increasing online exposure of urban public spaces, the new concept of “internet-famous sites” has emerged in China. Social media users are the main contributors to this new phenomenon. To fully understand social media users’ preferences in such kinds of public spaces, this article took 27 typical riverfront internet-famous sites (RIFSs) in Changsha City (China) as an example. Through social media platform selection, keyword research, text and image data extraction, visual and emotional symbol coding, and manual calculations of coding frequency, this study investigated social media users’ perception of RIFSs, especially on visual and emotional preferences. The online images and review comments were extracted from the popular Chinese social media platform “Xiaohongshu”. We found that (1) the popularity of each RIFS had a significant head effect and there were far more positive emotions than neutral and negative emotions in review comments. (2) RIFSs in Changsha were divided into five categories: commercial RIFSs, art exhibition RIFSs, historical and cultural RIFSs, ecological recreational RIFSs, and uncultivated RIFSs. Social media users had different visual focuses on each kind of RIFS. (3) Social media users provided specific reasons for their emotional preferences towards different types of RIFSs. This study can provide a new perspective on improving waterfront vitality and offer a targeted and attractive method for waterfront regeneration that is different from traditional methods.

Suggested Citation

  • Yuanyuan Huang & Bohong Zheng, 2024. "Social Media Users’ Visual and Emotional Preferences of Internet-Famous Sites in Urban Riverfront Public Spaces: A Case Study in Changsha, China," Land, MDPI, vol. 13(7), pages 1-32, June.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:930-:d:1422702
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    References listed on IDEAS

    as
    1. Keying Ding & Mian Yang & Shixian Luo, 2021. "Mountain Landscape Preferences of Millennials Based on Social Media Data: A Case Study on Western Sichuan," Land, MDPI, vol. 10(11), pages 1-17, November.
    2. Siya Cheng & Zheran Zhai & Wenzhuo Sun & Yuan Wang & Rui Yu & Xiaoyu Ge, 2022. "Research on the Satisfaction of Beijing Waterfront Green Space Landscape Based on Social Media Data," Land, MDPI, vol. 11(10), pages 1-25, October.
    3. Tingting Ding & Wenzhuo Sun & Yuan Wang & Rui Yu & Xiaoyu Ge, 2022. "Comparative Evaluation of Mountain Landscapes in Beijing Based on Social Media Data," Land, MDPI, vol. 11(10), pages 1-30, October.
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    Cited by:

    1. Jiaying Zhao & Yang Chen & Jiaping Liu & Pierluigi Salvadeo, 2025. "Towards Well-Being in Old Residential Areas: How Health-Promoting Environments Influence Resident Sentiment Within the 15-Minute Living Circle," Land, MDPI, vol. 14(10), pages 1-32, October.
    2. Yuwen Zhang & Mingfeng Wang & Xinyu Yang & Ruixuan Zhang, 2025. "Urban Commercial Space Vitality Evaluation Method Based on Social Media Data: The Case of Shanghai," Land, MDPI, vol. 14(4), pages 1-25, March.

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