Education for sustainable development and climate change education: the potential of social network analysis based on twitter data

Detalhes bibliográficos
Autor(a) principal: Goritz, A.
Data de Publicação: 2019
Outros Autores: Kolleck, N., Jörgens, H.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/20077
Resumo: Education is considered as an essential tool for achieving sustainability-related goals. In this regard, Education for Sustainable Development (ESD) and Climate Change Education (CCE) have become prominent concepts. Central characteristics of both concepts influence the non-hierarchical network governance structure that has formed around them: (1) their international origin, (2) the conceptual ambiguity that surrounds them, and (3) the limited implementing power of international organizations, who developed these concepts. Hence, networks are essential to ESD and CCE, however, only few studies have used Social Network Analysis (SNA) techniques to analyze their governance structure. The aim of this article is to illustrate how to use SNA, based on Twitter data, as an approach to examine the governance structure that has developed around ESD and CCE. We conduct an illustrative SNA, using Twitter data during three global climate change summits (2015-2017) to examine CCE-specific debates and identify actors exerting the most influence. We find that international organizations and international treaty secretariats are most influential across all years of the analysis and moreover, are represented most often. These findings show that using SNA based on Twitter data offers promising possibilities to better understand the governance structure and processes around both concepts.
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spelling Education for sustainable development and climate change education: the potential of social network analysis based on twitter dataEducation for sustainable development (ESD)Climate change education (CCE)Social network analysis (SNA)TwitterNetwork governanceInternational organizationsUnited Nations Educational Scientific and Cultural Organization (UNESCO)United Nations Framework Convention on Climate Change (UNFCCC)Education is considered as an essential tool for achieving sustainability-related goals. In this regard, Education for Sustainable Development (ESD) and Climate Change Education (CCE) have become prominent concepts. Central characteristics of both concepts influence the non-hierarchical network governance structure that has formed around them: (1) their international origin, (2) the conceptual ambiguity that surrounds them, and (3) the limited implementing power of international organizations, who developed these concepts. Hence, networks are essential to ESD and CCE, however, only few studies have used Social Network Analysis (SNA) techniques to analyze their governance structure. The aim of this article is to illustrate how to use SNA, based on Twitter data, as an approach to examine the governance structure that has developed around ESD and CCE. We conduct an illustrative SNA, using Twitter data during three global climate change summits (2015-2017) to examine CCE-specific debates and identify actors exerting the most influence. We find that international organizations and international treaty secretariats are most influential across all years of the analysis and moreover, are represented most often. These findings show that using SNA based on Twitter data offers promising possibilities to better understand the governance structure and processes around both concepts.MDPI2020-03-10T14:51:32Z2019-01-01T00:00:00Z20192020-03-10T14:50:49Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/20077eng2071-105010.3390/su11195499Goritz, A.Kolleck, N.Jörgens, H.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:41:43Zoai:repositorio.iscte-iul.pt:10071/20077Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:19:26.563689Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Education for sustainable development and climate change education: the potential of social network analysis based on twitter data
title Education for sustainable development and climate change education: the potential of social network analysis based on twitter data
spellingShingle Education for sustainable development and climate change education: the potential of social network analysis based on twitter data
Goritz, A.
Education for sustainable development (ESD)
Climate change education (CCE)
Social network analysis (SNA)
Twitter
Network governance
International organizations
United Nations Educational Scientific and Cultural Organization (UNESCO)
United Nations Framework Convention on Climate Change (UNFCCC)
title_short Education for sustainable development and climate change education: the potential of social network analysis based on twitter data
title_full Education for sustainable development and climate change education: the potential of social network analysis based on twitter data
title_fullStr Education for sustainable development and climate change education: the potential of social network analysis based on twitter data
title_full_unstemmed Education for sustainable development and climate change education: the potential of social network analysis based on twitter data
title_sort Education for sustainable development and climate change education: the potential of social network analysis based on twitter data
author Goritz, A.
author_facet Goritz, A.
Kolleck, N.
Jörgens, H.
author_role author
author2 Kolleck, N.
Jörgens, H.
author2_role author
author
dc.contributor.author.fl_str_mv Goritz, A.
Kolleck, N.
Jörgens, H.
dc.subject.por.fl_str_mv Education for sustainable development (ESD)
Climate change education (CCE)
Social network analysis (SNA)
Twitter
Network governance
International organizations
United Nations Educational Scientific and Cultural Organization (UNESCO)
United Nations Framework Convention on Climate Change (UNFCCC)
topic Education for sustainable development (ESD)
Climate change education (CCE)
Social network analysis (SNA)
Twitter
Network governance
International organizations
United Nations Educational Scientific and Cultural Organization (UNESCO)
United Nations Framework Convention on Climate Change (UNFCCC)
description Education is considered as an essential tool for achieving sustainability-related goals. In this regard, Education for Sustainable Development (ESD) and Climate Change Education (CCE) have become prominent concepts. Central characteristics of both concepts influence the non-hierarchical network governance structure that has formed around them: (1) their international origin, (2) the conceptual ambiguity that surrounds them, and (3) the limited implementing power of international organizations, who developed these concepts. Hence, networks are essential to ESD and CCE, however, only few studies have used Social Network Analysis (SNA) techniques to analyze their governance structure. The aim of this article is to illustrate how to use SNA, based on Twitter data, as an approach to examine the governance structure that has developed around ESD and CCE. We conduct an illustrative SNA, using Twitter data during three global climate change summits (2015-2017) to examine CCE-specific debates and identify actors exerting the most influence. We find that international organizations and international treaty secretariats are most influential across all years of the analysis and moreover, are represented most often. These findings show that using SNA based on Twitter data offers promising possibilities to better understand the governance structure and processes around both concepts.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01T00:00:00Z
2019
2020-03-10T14:51:32Z
2020-03-10T14:50:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/20077
url http://hdl.handle.net/10071/20077
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2071-1050
10.3390/su11195499
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dc.publisher.none.fl_str_mv MDPI
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