Diachronic profile of startup companies through social media
Autor(a) principal: | |
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Data de Publicação: | 2023 |
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/10362/150949 |
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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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 |
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18 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 |
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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) |
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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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