Social media discourse and voting decisions influence

Detalhes bibliográficos
Autor(a) principal: Rita, Paulo
Data de Publicação: 2023
Outros Autores: António, Nuno, Afonso, Ana Patrícia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/150481
Resumo: Rita, P., António, N., & Afonso, A. P. (2023). Social media discourse and voting decisions influence: sentiment analysis in tweets during an electoral period. Social Network Analysis and Mining, 13(1), 1-16. [46]. https://doi.org/10.1007/s13278-023-01048-1 --- Funding: Open access funding provided by FCT|FCCN (b-on). This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
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spelling Social media discourse and voting decisions influencesentiment analysis in tweets during an electoral periodElectionsPoliticsSentiment analysisSocial mediaInformation SystemsCommunicationMedia TechnologyHuman-Computer InteractionComputer Science ApplicationsRita, P., António, N., & Afonso, A. P. (2023). Social media discourse and voting decisions influence: sentiment analysis in tweets during an electoral period. Social Network Analysis and Mining, 13(1), 1-16. [46]. https://doi.org/10.1007/s13278-023-01048-1 --- Funding: Open access funding provided by FCT|FCCN (b-on). This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.In a time where social media is fundamental for any political campaign and to share a message with an electoral audience, this study searches for a conclusion of the actual persuasion capacity of social media in the electors when they need to decide whom to vote for as their next government. For this, it compares the sentiment that Social Media users demonstrated during an electoral period with the actual results of those elections. For this analysis, it was used, as a case study, tweets mentioning the two major English parties, Conservative and Labor, their respective candidates for the position of prime minister, and terms that identified their political campaign during the electoral period of the General Elections of the United Kingdom that occurred on December 12, 2019. Data were collected using R. The treatment and analysis were done with R and RapidMiner. Results show that tweets’ sentiment is not a reliable election results predictor. Additionally, results also show that it is impossible to state that social media impacts voting decisions. At least not from the polarity of the sentiment of opinions on social media.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNRita, PauloAntónio, NunoAfonso, Ana Patrícia2023-03-13T22:26:32Z2023-12-012023-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article16application/pdfhttp://hdl.handle.net/10362/150481eng1869-5450PURE: 55512715https://doi.org/10.1007/s13278-023-01048-1info: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:RCAAP2024-03-11T05:32:27Zoai:run.unl.pt:10362/150481Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:08.403694Repositório 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 Social media discourse and voting decisions influence
sentiment analysis in tweets during an electoral period
title Social media discourse and voting decisions influence
spellingShingle Social media discourse and voting decisions influence
Rita, Paulo
Elections
Politics
Sentiment analysis
Social media
Information Systems
Communication
Media Technology
Human-Computer Interaction
Computer Science Applications
title_short Social media discourse and voting decisions influence
title_full Social media discourse and voting decisions influence
title_fullStr Social media discourse and voting decisions influence
title_full_unstemmed Social media discourse and voting decisions influence
title_sort Social media discourse and voting decisions influence
author Rita, Paulo
author_facet Rita, Paulo
António, Nuno
Afonso, Ana Patrícia
author_role author
author2 António, Nuno
Afonso, Ana Patrícia
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Rita, Paulo
António, Nuno
Afonso, Ana Patrícia
dc.subject.por.fl_str_mv Elections
Politics
Sentiment analysis
Social media
Information Systems
Communication
Media Technology
Human-Computer Interaction
Computer Science Applications
topic Elections
Politics
Sentiment analysis
Social media
Information Systems
Communication
Media Technology
Human-Computer Interaction
Computer Science Applications
description Rita, P., António, N., & Afonso, A. P. (2023). Social media discourse and voting decisions influence: sentiment analysis in tweets during an electoral period. Social Network Analysis and Mining, 13(1), 1-16. [46]. https://doi.org/10.1007/s13278-023-01048-1 --- Funding: Open access funding provided by FCT|FCCN (b-on). This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
publishDate 2023
dc.date.none.fl_str_mv 2023-03-13T22:26:32Z
2023-12-01
2023-12-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/150481
url http://hdl.handle.net/10362/150481
dc.language.iso.fl_str_mv eng
language eng
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PURE: 55512715
https://doi.org/10.1007/s13278-023-01048-1
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