Attention restoration theory as a framework for analysis of Tweets about urban green space: a case study

Stephanie Wilkie, Emine Thompson, Paul Cranner and Kevin Ginty

Landscape Research, 2020, vol. 45, issue 6, 777-788

Abstract: In this study, the use of Twitter as a potential method to capture unsolicited views of urban green spaces was explored. Tweets were content analysed using attention restoration theory (ART) as the framework. Tweets about three city-centre urban green spaces in northern England were analysed for four attention restoration characteristics: being away, fascination, compatibility, and extent. Of 5,624 Tweets matching search parameters, approximately 10% were suitable for analysis after re-Tweets, advertising, and event-related matches were eliminated. Tweets most often referred to fascination or compatibility. Fewer than 5% of Tweets referred to being away and none referred to extent. Tweets associated with more biodiverse locations suggested they were also more fascinating. The thematic content in unsolicited Tweets about urban green space was consistent with characteristics central to attention restoration theory, reinforcing the positive potential of urban green spaces for attention restoration and Twitter as a potential data source.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/01426397.2020.1738363 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:clarxx:v:45:y:2020:i:6:p:777-788

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/clar20

DOI: 10.1080/01426397.2020.1738363

Access Statistics for this article

Landscape Research is currently edited by Dr Anna Jorgensen

More articles in Landscape Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().