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Evolving norms: social media data analysis on parks and greenspaces perception changes before and after the COVID 19 pandemic using a machine learning approach.
Park, Sohyun; Kim, Seungman; Lee, Jaehoon; Heo, Biyoung.
  • Park S; Department of Plant Science & Landscape Architecture, University of Connecticut, Storrs, USA. sohyun.park@uconn.edu.
  • Kim S; Department of Educational Psychology and Leadership, Texas Tech University, Lubbock, USA.
  • Lee J; Department of Educational Psychology and Leadership, Texas Tech University, Lubbock, USA.
  • Heo B; James Corner Field Operations, New York, USA.
Sci Rep ; 12(1): 13246, 2022 08 02.
Article in English | MEDLINE | ID: covidwho-1967621
ABSTRACT
This study provides a novel approach to understand human perception changes in their experiences of and interactions with public greenspaces during the early months of COVID-19. Using social media data and machine learning techniques, the study delivers new understandings of how people began to feel differently about their experiences compared to pre-COVID times. The study illuminates a renewed appreciation of nature as well as an emerging but prominent pattern of emotional and spiritual experiences expressed through a social media platform. Given that most park and recreational studies have almost exclusively examined whether park use increased or decreased during the pandemic, this research provides meaningful implications beyond the simple extensional visit pattern and lends weight to the growing evidences on changing perceptions over and the positive psychological impacts of nature. The study highlights the preeminent roles parks and greenspaces play during the pandemic and guides a new direction in future park development to support more natural elements and nature-oriented experiences from which emotional and spiritual well-being outcomes can be drawn.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Media / COVID-19 Type of study: Experimental Studies / Observational study / Qualitative research Limits: Humans Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-17077-3

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Media / COVID-19 Type of study: Experimental Studies / Observational study / Qualitative research Limits: Humans Language: English Journal: Sci Rep Year: 2022 Document Type: Article Affiliation country: S41598-022-17077-3