Diachronic profile of startup companies through social media

Detalhes bibliográficos
Autor(a) principal: Peixoto, Ana Rita
Data de Publicação: 2023
Outros Autores: Almeida, Ana de, António, Nuno, Batista, Fernando, Ribeiro, Ricardo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/150949
Resumo: Peixoto, A. R., Almeida, A. D., António, N., Batista, F., & Ribeiro, R. (2023). Diachronic profile of startup companies through social media. Social Network Analysis and Mining, 13(1), 1-18. [52]. https://doi.org/10.1007/s13278-023-01055-2 --- Funding: Open access funding provided by FCT|FCCN (b-on). This work was partially supported by Fundação para a Ciência e a Tecnologia, I.P. (FCT) namely by ISTAR Projects: UIDB/04466/2020 and UIDP/04466/2020; UIDB/04152/2020 (MagIC/NOVA IMS); and UIDB/50021/2020 (INESC-ID).
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spelling Diachronic profile of startup companies through social mediaTopic modelingSocial mediaStartupsLife cycle modelTwitter dataInformation SystemsCommunicationHuman-Computer InteractionMedia TechnologyComputer Science ApplicationsPeixoto, A. R., Almeida, A. D., António, N., Batista, F., & Ribeiro, R. (2023). Diachronic profile of startup companies through social media. Social Network Analysis and Mining, 13(1), 1-18. [52]. https://doi.org/10.1007/s13278-023-01055-2 --- Funding: Open access funding provided by FCT|FCCN (b-on). This work was partially supported by Fundação para a Ciência e a Tecnologia, I.P. (FCT) namely by ISTAR Projects: UIDB/04466/2020 and UIDP/04466/2020; UIDB/04152/2020 (MagIC/NOVA IMS); and UIDB/50021/2020 (INESC-ID).Social media platforms have become powerful tools for startups, helping them find customers and raise funding. In this study, we applied a social media intelligence-based methodology to analyze startups’ content and to understand how their communication strategies may differ during their scaling process. To understand if a startup’s social media content reflects its current business maturation position, we first defined an adequate life cycle model for startups based on funding rounds and product maturity. Using Twitter as the source of information and selecting a sample of known Portuguese IT startups at different phases of their life cycle, we analyzed their Twitter data. After preprocessing the data, using latent Dirichlet allocation, topic modeling techniques enabled the categorization of the data according to the topics arising in the published contents of the startups, making it possible to discover that contents can be grouped into five specific topics: “Fintech and ML,” “IT,” “Business Operations,” “Product/Service R&D,” and “Bank and Funding.” By comparing those profiles against the startup’s life cycle, we were able to understand how contents change over time. This provided a diachronic profile for each company, showing that while certain topics remain prevalent in the startup’s scaling, others depend on a particular phase of the startup’s cycle. Our analysis revealed that startups’ social media content differs along their life cycle, highlighting the importance of understanding how startups use social media at different stages of their development.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNPeixoto, Ana RitaAlmeida, Ana deAntónio, NunoBatista, FernandoRibeiro, Ricardo2023-03-20T22:22:50Z2023-12-012023-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article18application/pdfhttp://hdl.handle.net/10362/150949eng1869-5450PURE: 56423520https://doi.org/10.1007/s13278-023-01055-2info: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:RCAAP2024-03-11T05:33:21Zoai:run.unl.pt:10362/150949Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:22.687414Repositório 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 Diachronic profile of startup companies through social media
title Diachronic profile of startup companies through social media
spellingShingle Diachronic profile of startup companies through social media
Peixoto, Ana Rita
Topic modeling
Social media
Startups
Life cycle model
Twitter data
Information Systems
Communication
Human-Computer Interaction
Media Technology
Computer Science Applications
title_short Diachronic profile of startup companies through social media
title_full Diachronic profile of startup companies through social media
title_fullStr Diachronic profile of startup companies through social media
title_full_unstemmed Diachronic profile of startup companies through social media
title_sort Diachronic profile of startup companies through social media
author Peixoto, Ana Rita
author_facet Peixoto, Ana Rita
Almeida, Ana de
António, Nuno
Batista, Fernando
Ribeiro, Ricardo
author_role author
author2 Almeida, Ana de
António, Nuno
Batista, Fernando
Ribeiro, Ricardo
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Peixoto, Ana Rita
Almeida, Ana de
António, Nuno
Batista, Fernando
Ribeiro, Ricardo
dc.subject.por.fl_str_mv Topic modeling
Social media
Startups
Life cycle model
Twitter data
Information Systems
Communication
Human-Computer Interaction
Media Technology
Computer Science Applications
topic Topic modeling
Social media
Startups
Life cycle model
Twitter data
Information Systems
Communication
Human-Computer Interaction
Media Technology
Computer Science Applications
description Peixoto, A. R., Almeida, A. D., António, N., Batista, F., & Ribeiro, R. (2023). Diachronic profile of startup companies through social media. Social Network Analysis and Mining, 13(1), 1-18. [52]. https://doi.org/10.1007/s13278-023-01055-2 --- Funding: Open access funding provided by FCT|FCCN (b-on). This work was partially supported by Fundação para a Ciência e a Tecnologia, I.P. (FCT) namely by ISTAR Projects: UIDB/04466/2020 and UIDP/04466/2020; UIDB/04152/2020 (MagIC/NOVA IMS); and UIDB/50021/2020 (INESC-ID).
publishDate 2023
dc.date.none.fl_str_mv 2023-03-20T22:22:50Z
2023-12-01
2023-12-01T00:00:00Z
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/10362/150949
url http://hdl.handle.net/10362/150949
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1869-5450
PURE: 56423520
https://doi.org/10.1007/s13278-023-01055-2
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 18
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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