Exploring User Engagement with Portuguese Political Party Pages on Facebook
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
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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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 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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
27 application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138100075560960 |