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Titel: Not All Places Are Equal: Using Instagram to Understand Cognitions and Affect towards Renewable Energy Infrastructures
VerfasserIn: Vespa, Mariangela
Kortsch, Timo
Hildebrand, Jan
Schweizer-Ries, Petra
Volkmer, Sara Alida
Sprache: Englisch
Titel: Sustainability
Bandnummer: 14
Heft: 7
Verlag/Plattform: MDPI
Erscheinungsjahr: 2022
Freie Schlagwörter: renewable energy infrastructures
people–place relationships
social media analysis
Instagram
mapping posts
DDC-Sachgruppe: 150 Psychologie
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: The research on people–place relations makes an important contribution to the understanding of the public responses to renewable energy technologies (RETs). Social media not only provides easy access to the sentiments and attitudes of online users towards RETs, but social media content can also shape the discourse, both on- and offline, about RETs. Hence, social media content analysis provides valuable insights into the public responses to RETs. However, as of now, only a small number of studies have investigated people–place relations in the context of the energy transition via online content. To address this lack of knowledge, this study aims to increase the understanding of people–place relations by investigating the relationship between the place scales mentioined in Instagram posts (categorized from local to planet) and the sentiments that are expressed in said posts, depending on different energy infrastructures (solar, wind, biomass, geothermal, powerlines, and renewable energy in general). Our analysis of 1500 Instagram posts shows that the place scales that are mentioned in the Instagram posts are related to some differences in the post emotionality, and that these effects differ across the different hashtags that are related to RETs. By using a sociocognitive approach, this study is the first to investigate Instagram posts in the context of the energy transition and people–place relationships.
DOI der Erstveröffentlichung: 10.3390/su14074071
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-359732
hdl:20.500.11880/32789
http://dx.doi.org/10.22028/D291-35973
ISSN: 2071-1050
Datum des Eintrags: 12-Apr-2022
Fakultät: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Fachrichtung: HW - Psychologie
Professur: HW - Keiner Professur zugeordnet
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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