Exploring User Engagement with Portuguese Political Party Pages on Facebook

Detalhes bibliográficos
Autor(a) principal: Rosa, Jorge
Data de Publicação: 2022
Outros Autores: Bacaksızlar Turbic, N. Gizem, Telles, Alda Magalhães, González Tosat, Clara, Jiménez Ruiz, Cristian, Moraiti, Kalliopi, Özgür Karadeniz, Oğuz, Pallacci, Valentina
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/142392
Resumo: In the broader context of a research project about political participation on Facebook during the Portuguese electoral year of 2019 - for the European Parliament in May, and for the National Parliament in October -, a dataset of more than 9,000 posts and corresponding reactions and comments had been previously retrieved using Facepager. Participating in a data sprint came up as an opportunity to explore some specific questions in an intensive and time-bound context, using a subset of the data tailored to the purpose of discovering: 1) how differently official parties tried to engage with Facebook users before, during, and after the campaigns for the major elections periods (“supply side”), and 2) what type of content received the most attention and engagement (“demand side”). Our results show that regardless of the party’s age and position in the political spectrum, the persistent main categories are “National Politics”, “Fundamental Rights”, and “Self-Promotion” for both elections. Also, we found that posts with images attract more attention, and apparently this may be leveraged if the textual content of the post is in topics of “National Politics”. However, this finding requires further investigation. Along with details about the research during the data sprint and the main findings, this paper is also a testimony about the singularities and learnings of a process built upon the constraints of taking data sprints situation as a workflow.
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spelling Exploring User Engagement with Portuguese Political Party Pages on FacebookData Sprint as WorkflowFacebookPolitical engagementRlectionsPolitical partiesData scienceIn the broader context of a research project about political participation on Facebook during the Portuguese electoral year of 2019 - for the European Parliament in May, and for the National Parliament in October -, a dataset of more than 9,000 posts and corresponding reactions and comments had been previously retrieved using Facepager. Participating in a data sprint came up as an opportunity to explore some specific questions in an intensive and time-bound context, using a subset of the data tailored to the purpose of discovering: 1) how differently official parties tried to engage with Facebook users before, during, and after the campaigns for the major elections periods (“supply side”), and 2) what type of content received the most attention and engagement (“demand side”). Our results show that regardless of the party’s age and position in the political spectrum, the persistent main categories are “National Politics”, “Fundamental Rights”, and “Self-Promotion” for both elections. Also, we found that posts with images attract more attention, and apparently this may be leveraged if the textual content of the post is in topics of “National Politics”. However, this finding requires further investigation. Along with details about the research during the data sprint and the main findings, this paper is also a testimony about the singularities and learnings of a process built upon the constraints of taking data sprints situation as a workflow.Instituto de Comunicação da NOVA (ICNOVA)Departamento de Ciências da Comunicação (DCC)RUNRosa, JorgeBacaksızlar Turbic, N. GizemTelles, Alda MagalhãesGonzález Tosat, ClaraJiménez Ruiz, CristianMoraiti, KalliopiÖzgür Karadeniz, OğuzPallacci, Valentina2022-07-25T22:25:02Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article27application/pdfhttp://hdl.handle.net/10362/142392eng2444-0132PURE: 45326902https://doi.org/10.7203/drdcd.v1i8.233info: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:RCAAP2024-03-11T05:20:00Zoai:run.unl.pt:10362/142392Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:17.121073Repositório 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 Exploring User Engagement with Portuguese Political Party Pages on Facebook
Data Sprint as Workflow
title Exploring User Engagement with Portuguese Political Party Pages on Facebook
spellingShingle Exploring User Engagement with Portuguese Political Party Pages on Facebook
Rosa, Jorge
Facebook
Political engagement
Rlections
Political parties
Data science
title_short Exploring User Engagement with Portuguese Political Party Pages on Facebook
title_full Exploring User Engagement with Portuguese Political Party Pages on Facebook
title_fullStr Exploring User Engagement with Portuguese Political Party Pages on Facebook
title_full_unstemmed Exploring User Engagement with Portuguese Political Party Pages on Facebook
title_sort Exploring User Engagement with Portuguese Political Party Pages on Facebook
author Rosa, Jorge
author_facet Rosa, Jorge
Bacaksızlar Turbic, N. Gizem
Telles, Alda Magalhães
González Tosat, Clara
Jiménez Ruiz, Cristian
Moraiti, Kalliopi
Özgür Karadeniz, Oğuz
Pallacci, Valentina
author_role author
author2 Bacaksızlar Turbic, N. Gizem
Telles, Alda Magalhães
González Tosat, Clara
Jiménez Ruiz, Cristian
Moraiti, Kalliopi
Özgür Karadeniz, Oğuz
Pallacci, Valentina
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Instituto de Comunicação da NOVA (ICNOVA)
Departamento de Ciências da Comunicação (DCC)
RUN
dc.contributor.author.fl_str_mv Rosa, Jorge
Bacaksızlar Turbic, N. Gizem
Telles, Alda Magalhães
González Tosat, Clara
Jiménez Ruiz, Cristian
Moraiti, Kalliopi
Özgür Karadeniz, Oğuz
Pallacci, Valentina
dc.subject.por.fl_str_mv Facebook
Political engagement
Rlections
Political parties
Data science
topic Facebook
Political engagement
Rlections
Political parties
Data science
description In the broader context of a research project about political participation on Facebook during the Portuguese electoral year of 2019 - for the European Parliament in May, and for the National Parliament in October -, a dataset of more than 9,000 posts and corresponding reactions and comments had been previously retrieved using Facepager. Participating in a data sprint came up as an opportunity to explore some specific questions in an intensive and time-bound context, using a subset of the data tailored to the purpose of discovering: 1) how differently official parties tried to engage with Facebook users before, during, and after the campaigns for the major elections periods (“supply side”), and 2) what type of content received the most attention and engagement (“demand side”). Our results show that regardless of the party’s age and position in the political spectrum, the persistent main categories are “National Politics”, “Fundamental Rights”, and “Self-Promotion” for both elections. Also, we found that posts with images attract more attention, and apparently this may be leveraged if the textual content of the post is in topics of “National Politics”. However, this finding requires further investigation. Along with details about the research during the data sprint and the main findings, this paper is also a testimony about the singularities and learnings of a process built upon the constraints of taking data sprints situation as a workflow.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-25T22:25:02Z
2022
2022-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/142392
url http://hdl.handle.net/10362/142392
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2444-0132
PURE: 45326902
https://doi.org/10.7203/drdcd.v1i8.233
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eu_rights_str_mv openAccess
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