Web of Science: 4 cites, Scopus: 8 cites, Google Scholar: cites,
A tag is worth a thousand pictures : A framework for an empirically grounded typology of relational values through social media
Calcagni, Fulvia (University of Haifa. Department of Natural Resources and Environmental Management)
Nogué Batallé, Júlia (Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals)
Baró Porras, Francesc (Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals)
Langemeyer, Johannes (Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals)

Data: 2022
Resum: Environmental values depend on social-ecological interactions and, in turn, influence the production of the underlying biophysical ecosystems. Understanding the nuanced nature of the values that humans ascribe to the environment is thus a key frontier for environmental science and planning. The development of many of these values depends on social-ecological interactions, such as outdoor recreation, landscape aesthetic appreciation or educational experiences with and within nature that can be articulated through the framework of cultural ecosystem services (CES). However, the non-material and intangible nature of CES has challenged previous attempts to assess the multiple and subjective values that people attach to them. In particular, this study focuses on assessing relational values ascribed to CES, here defined as values resonating with core principles of justice, reciprocity, care, and responsibility towards humans and more-than-humans. Building on emerging approaches for inferring relational CES values through social media (SM) images, this research explores the additional potential of a combined analysis of both the visual and textual content of SM data. To do so, we developed an inductive, empirically grounded coding protocol as well as a values typology that could be iteratively tested and verified by three different researchers to improve the consistency and replicability of the assessment. As a case study, we collected images and texts shared on the photo-sharing platform Flickr between 2004 and 2017 that were geotagged within the peri-urban park of Collserola, at the outskirts of Barcelona, Spain. Results reveal a wide spectrum of nine CES values within the park boundaries that show positive and negative correlations among each other, providing useful information for landscape planning and management. Moreover, the study highlights the need for spatial, temporal and demographic analysis, as well as for supervised machine learning techniques to further leverage SM data into contextual and just decision-making and planning.
Ajuts: Ministerio de Ciencia e Innovación PCIN-2016-002
Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-775
Agència de Gestió d'Ajuts Universitaris i de Recerca 2018FI_B00635
European Commission 818002
European Commission 869324
European Commission 730243
Ministerio de Ciencia e Innovación CEX2019-000940-M
Nota: Altres ajuts: acords transformatius de la UAB
Nota: Unidad de excelencia María de Maeztu CEX2019-000940-M
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Cultural ecosystem services ; Empirically grounded values typology ; Landscape planning and management ; Relational values ; Social media data analysis
Publicat a: Ecosystem services, Vol. 58 (December 2022) , art. 101495, ISSN 2212-0416

DOI: 10.1016/j.ecoser.2022.101495


16 p, 1.5 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > Institut de Ciència i Tecnologia Ambientals (ICTA)
Articles > Articles de recerca
Articles > Articles publicats

 Registre creat el 2022-12-14, darrera modificació el 2023-05-18



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