- -

How can destinations get engagement on Instagram? Artificial Intelligence as a tool for photo analysis

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

How can destinations get engagement on Instagram? Artificial Intelligence as a tool for photo analysis

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Blanco-Moreno, Sofía es_ES
dc.contributor.author González-Fernández, Ana M. es_ES
dc.contributor.author Muñoz-Gallego, Pablo Antonio es_ES
dc.date.accessioned 2024-01-10T13:36:04Z
dc.date.available 2024-01-10T13:36:04Z
dc.date.issued 2023-09-22
dc.identifier.isbn 9788413960869
dc.identifier.uri http://hdl.handle.net/10251/201714
dc.description.abstract [EN] What type of content should be published on Instagram to get more engagement? This article highlights the different characteristics that the images of tourists show on Instagram with the most engagement, that is likes and comments. Understanding the behavior in a destination helps tourism managers in marketing strategies. Based on the stimulus-organism-response model, a content analysis of 49,540 photographs shared by tourists that received 3,734,384 likes and 133,497 comments is carried out. By combining the content analysis with Kruskal-Wallis non-parametric tests, the results show that the different characteristics found in the images imply different amounts between comments and likes, demonstrating that the behavior of users on Instagram is influenced by the different attributes of the images. Specifically, images that feature people get more engagement than destination-focused ones. Additionally, scenes such as gastronomy and nature get less engagement than scenes such as old and new heritage, outdoors, and entertainment. Specifically, photos with people get greater rate of comments than likes, and if the format is selfie, they also get more comments. The implications of this research directly affect destination managers, offering clues about the content generated by tourists that produces the most engagement, thus attracting potential tourists and Instagram users. es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023)
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Instagram es_ES
dc.subject Big data es_ES
dc.subject Neural networks es_ES
dc.subject Destination image es_ES
dc.subject SOR es_ES
dc.subject Visual computing es_ES
dc.subject Selfie es_ES
dc.title How can destinations get engagement on Instagram? Artificial Intelligence as a tool for photo analysis es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Blanco-Moreno, S.; González-Fernández, AM.; Muñoz-Gallego, PA. (2023). How can destinations get engagement on Instagram? Artificial Intelligence as a tool for photo analysis. Editorial Universitat Politècnica de València. 123-124. http://hdl.handle.net/10251/201714 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2023 - 5th International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Junio 28-30, 2023 es_ES
dc.relation.conferenceplace Sevilla, España es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2023/paper/view/16487 es_ES
dc.description.upvformatpinicio 123 es_ES
dc.description.upvformatpfin 124 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\16487 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem