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A Critical Analysis of Government Communication via X (Twitter)

2025-09Artigo científico Acesso aberto
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dc.contributor.authorRita, Paulo
dc.contributor.authorAntónio, Nuno
dc.contributor.authorNassar, Luciana Silveira
dc.contributor.institutionInformation Management Research Center (MagIC) - NOVA Information Management School
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2025-09-25T21:46:11Z
dc.date.available2025-09-25T21:46:11Z
dc.date.issued2025-09
dc.descriptionRita, P., António, N., & Nassar, L. S. (2025). A Critical Analysis of Government Communication via X (Twitter). Big Data and Cognitive Computing, 9(9), Article 242. https://doi.org/10.3390/bdcc9090242 --- 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.
dc.description.abstractSocial media has dramatically impacted all sectors of society, including public communication and governmental relations. Most countries have increasingly incorporated it into their communication strategies. However, there is little research on this subject. This study tackled this gap by analyzing the existing literature and comprehending the objectives, determinant factors, and consequences of social media use by governments. It investigated the practice of such measures on Portuguese governmental communication to understand the low levels of engagement identified through the research. The governmental accounts were subjected to two types of analysis to achieve a practical means of classification. The exploratory analysis of the @govpt account data (18,071) tweets used various methods specific to user-generated content. Fourteen public agencies’ tweets (39,965) underwent the transparency, participation, collaboration, and comfort (TPCC) index computations, developing four factors to calculate the public sector’s digital communication success. The TPCC Index results revealed the lowest development rates, with participation and collaboration being the least developed factors. Only 107 mentions were found across 59,036 tweets, and explicit co-creation terms appeared 303 times. Furthermore, the analyzed accounts did not progress to the deeper stages of connection with governments’ possible exploration n. This research’s main achievements and contributions consist of contemplating the Portuguese case study while proposing and validating the TPCC Index metrics’ modifications for X data analysis.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent34
dc.format.extent1074829
dc.identifier.doi10.3390/bdcc9090242
dc.identifier.issn2504-2289
dc.identifier.otherPURE: 128841982
dc.identifier.otherPURE UUID: f1f52f59-d924-4399-a816-7485fac04a04
dc.identifier.otherScopus: 105017003065
dc.identifier.otherWOS: 001580338800001
dc.identifier.otherORCID: /0000-0001-6050-9958/work/192783194
dc.identifier.urihttp://hdl.handle.net/10362/188584
dc.identifier.urlhttps://www.scopus.com/pages/publications/105017003065
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001580338800001
dc.language.isoeng
dc.peerreviewedyes
dc.relationhttps://doi.org/10.54499/UID/04152/2025
dc.relationhttps://doi.org/10.54499/UID/PRR/04152/2025
dc.subjectpublic communication
dc.subjectsocial media analytics
dc.subjectX (Twitter)
dc.subjectPortuguese Government
dc.subjectcommunication success
dc.subjectManagement Information Systems
dc.subjectInformation Systems
dc.subjectComputer Science Applications
dc.subjectArtificial Intelligence
dc.subjectSDG 8 - Decent Work and Economic Growth
dc.subjectSDG 16 - Peace, Justice and Strong Institutions
dc.subjectSDG 17 - Partnerships for the Goals
dc.titleA Critical Analysis of Government Communication via X (Twitter)en
dc.typejournal article
degois.publication.issue9
degois.publication.titleBig Data and Cognitive Computing
degois.publication.volume9
dspace.entity.typePublication
rcaap.rightsopenAccess

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