Digital activism masked: the Fridays for Future movement and the “Global Day of Climate Action”: testing social function and framing typologies of claims on Twitter

This article analyzed the Fridays for Future (FFF) movement and its online mobilization around the Global Day of Climate Action on 25 September 2020. Due to the COVID-19 pandemic, this event is a unique opportunity to study digital activism as marchers were considered not appropriate. Using Twitter’...

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Detalles Bibliográficos
Autores: Fernández Zubieta, Ana, Guevara Gil, Juan Antonio, Caballero Roldán, Rafael, Robles Morales, José Manuel
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/103257
Acceso en línea:https://hdl.handle.net/20.500.14352/103257
Access Level:acceso abierto
Palabra clave:Climate change
Fridays for Future
Social media
Climate protests
Social movements
Framing
Sociología
5906 Sociología Política
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spelling Digital activism masked: the Fridays for Future movement and the “Global Day of Climate Action”: testing social function and framing typologies of claims on TwitterFernández Zubieta, AnaGuevara Gil, Juan AntonioCaballero Roldán, RafaelRobles Morales, José ManuelClimate changeFridays for FutureSocial mediaClimate protestsSocial movementsFramingSociología5906 Sociología PolíticaThis article analyzed the Fridays for Future (FFF) movement and its online mobilization around the Global Day of Climate Action on 25 September 2020. Due to the COVID-19 pandemic, this event is a unique opportunity to study digital activism as marchers were considered not appropriate. Using Twitter’s API with keywords “#climateStrike”, and “#FridaysForFuture”, we collected 111,844 unique tweets and retweets from 47,892 unique users. We used two typologies based on social media activism and framing literature to understand the main function of tweets (information, opinion, mobilization, and blame) and their framing (diagnosis, prognosis, and motivational). We also analyzed its relationship and tested its automated classification potential. To do so we manually coded a randomly selected sample of 950 tweets that were used as input for the automated classification process (SVM algorithm with balancing classification techniques). We found that the automated classification of the COVID-19 pandemic appeared to not increase the mobilization function of tweets, as the frequencies of mobilization tweets were low. We also found a balanced diversity of framing tasks, with an important number of tweets that envisaged solutions to legislation and policy changes. COVID-related tweets were less frequently prognostically framed. We found that both typologies were not independent. Tweets with a blaming function tended to be framed in a prognostic way and therefore were related to possible solutions. The automated data classification model performed well, especially across social function typology and the “other” category. This indicated that these tools could help researchers working with social media data to process the information across categories that are currently mainly processed manuallyMDPIUniversidad Complutense de Madrid20232023-12-0620232023-12-06journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/103257reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1032572026-06-02T12:44:21Z
dc.title.none.fl_str_mv Digital activism masked: the Fridays for Future movement and the “Global Day of Climate Action”: testing social function and framing typologies of claims on Twitter
title Digital activism masked: the Fridays for Future movement and the “Global Day of Climate Action”: testing social function and framing typologies of claims on Twitter
spellingShingle Digital activism masked: the Fridays for Future movement and the “Global Day of Climate Action”: testing social function and framing typologies of claims on Twitter
Fernández Zubieta, Ana
Climate change
Fridays for Future
Social media
Climate protests
Social movements
Framing
Sociología
5906 Sociología Política
title_short Digital activism masked: the Fridays for Future movement and the “Global Day of Climate Action”: testing social function and framing typologies of claims on Twitter
title_full Digital activism masked: the Fridays for Future movement and the “Global Day of Climate Action”: testing social function and framing typologies of claims on Twitter
title_fullStr Digital activism masked: the Fridays for Future movement and the “Global Day of Climate Action”: testing social function and framing typologies of claims on Twitter
title_full_unstemmed Digital activism masked: the Fridays for Future movement and the “Global Day of Climate Action”: testing social function and framing typologies of claims on Twitter
title_sort Digital activism masked: the Fridays for Future movement and the “Global Day of Climate Action”: testing social function and framing typologies of claims on Twitter
dc.creator.none.fl_str_mv Fernández Zubieta, Ana
Guevara Gil, Juan Antonio
Caballero Roldán, Rafael
Robles Morales, José Manuel
author Fernández Zubieta, Ana
author_facet Fernández Zubieta, Ana
Guevara Gil, Juan Antonio
Caballero Roldán, Rafael
Robles Morales, José Manuel
author_role author
author2 Guevara Gil, Juan Antonio
Caballero Roldán, Rafael
Robles Morales, José Manuel
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Climate change
Fridays for Future
Social media
Climate protests
Social movements
Framing
Sociología
5906 Sociología Política
topic Climate change
Fridays for Future
Social media
Climate protests
Social movements
Framing
Sociología
5906 Sociología Política
description This article analyzed the Fridays for Future (FFF) movement and its online mobilization around the Global Day of Climate Action on 25 September 2020. Due to the COVID-19 pandemic, this event is a unique opportunity to study digital activism as marchers were considered not appropriate. Using Twitter’s API with keywords “#climateStrike”, and “#FridaysForFuture”, we collected 111,844 unique tweets and retweets from 47,892 unique users. We used two typologies based on social media activism and framing literature to understand the main function of tweets (information, opinion, mobilization, and blame) and their framing (diagnosis, prognosis, and motivational). We also analyzed its relationship and tested its automated classification potential. To do so we manually coded a randomly selected sample of 950 tweets that were used as input for the automated classification process (SVM algorithm with balancing classification techniques). We found that the automated classification of the COVID-19 pandemic appeared to not increase the mobilization function of tweets, as the frequencies of mobilization tweets were low. We also found a balanced diversity of framing tasks, with an important number of tweets that envisaged solutions to legislation and policy changes. COVID-related tweets were less frequently prognostically framed. We found that both typologies were not independent. Tweets with a blaming function tended to be framed in a prognostic way and therefore were related to possible solutions. The automated data classification model performed well, especially across social function typology and the “other” category. This indicated that these tools could help researchers working with social media data to process the information across categories that are currently mainly processed manually
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-12-06
2023
2023-12-06
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/103257
url https://hdl.handle.net/20.500.14352/103257
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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