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dc.contributor.authorPérez-Bonaventura, Marc
dc.contributor.authorRodríguez-Llorente, Carolina
dc.date.accessioned2023-03-28T07:42:43Z
dc.date.available2023-03-28T07:42:43Z
dc.date.issued2023-01-11
dc.identifier.citationPérez-Bonaventura, M., & Rodríguez-Llorente, C. (2023). Activity of universities in social networks. Correlations of rankings, students, followers and interactions. Profesional De La información, 32(1). https://doi.org/10.3145/epi.2023.ene.09es_ES
dc.identifier.issn1386-6710
dc.identifier.urihttp://hdl.handle.net/2183/32792
dc.description.abstract[Abstract] The Internet and social networks are widely used by students. For higher education, which operates in a highly competitive environment, marketing is a fundamental tool for universities to distinguish themselves and attract new students. Social networks are one of the best options for influencing university choice. The objective of this study is to analyze the relationship between some indicators related to universities and their use of and results on social networks. We carried out quantitative correlational research to study the number of students and ranking position as university indicators as well as the number of followers, posts, and interactions (likes, comments, and shares) weekly and per post on Facebook, Instagram, Twitter, and YouTube. Data were collected from 83 Spanish universities over 14 weeks in 2021. Correlation analysis showed that the number of students is closely related to the number of followers and interactions, although to varying degrees. The position of a university in the rankings exhibited a particularly significant correlation with their number of followers on almost all the networks. In addition, the higher the university in the ranking, the higher the number of interactions per post that it obtained on Facebook and Twitter. It was also found that universities with more followers had more interactions (likes, comments, and shares) with their posts. Finally, the number of posts was found to be positively related to the interactions per week but not to the interactions per post. This study has identified some significant relationships between the characteristics of all Spanish universities and their performance on four social networks, which may help universities become better at acting and communicating on them.es_ES
dc.language.isoenges_ES
dc.publisherEl Profesional de la Informaciónes_ES
dc.relation.urihttps://doi.org/10.3145/epi.2023.ene.09es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectCommunicationes_ES
dc.subjectCommunication 2.0es_ES
dc.subjectEducationes_ES
dc.subjectHigher educationes_ES
dc.subjectUniversitieses_ES
dc.subjectMarketinges_ES
dc.subjectDigital marketinges_ES
dc.subjectRankingses_ES
dc.subjectStudentses_ES
dc.subjectFollowerses_ES
dc.subjectInteractiones_ES
dc.subjectSocial networkses_ES
dc.subjectSocial mediaes_ES
dc.subjectFacebookes_ES
dc.subjectInstagrames_ES
dc.subjectTwitteres_ES
dc.subjectYouTubees_ES
dc.subjectSpaines_ES
dc.titleActivity of Universities in Social Networks: Correlations of Rankings, Students, Followers and Interactionses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleEl Profesional de la informaciónes_ES
UDC.volume32es_ES
UDC.issue1es_ES
UDC.startPagee320109es_ES


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