dc.contributor.author | Rabad´an-Martín, Inmaculada | |
dc.contributor.author | Barcos-Redín, Lucía | |
dc.contributor.author | Pereira-Delgado, Jorge | |
dc.contributor.author | Aguado- Correa, Francisco | |
dc.contributor.author | Padilla-Garrido, Nuria | |
dc.date.accessioned | 2024-07-08T07:56:08Z | |
dc.date.available | 2024-07-08T07:56:08Z | |
dc.date.issued | 2025 | |
dc.identifier.uri | https://thuvienso.hoasen.edu.vn/handle/123456789/15428 | |
dc.description | Tourism Management 106 (2025) 104981 | vi |
dc.description.abstract | In a social-media context, brands need to understand how to frame their messages, so that a topic can be quickly
recognized, promoting higher levels of user engagement. However, knowledge about the link between content
type and its engagement is not sufficiently studied. We first explore hotel Firm-Generated Content (FGC) and its
inherent themes using topic modelling; we then use an ad hoc metric to investigate the engagement levels
associated with each topic; thirdly, we compare the relevance attached to the topics with their engagement
levels. In total, 44,448 corporate tweets from 62 hotel brands were analyzed to identify 14 topics, one of which
had not previously been uncovered. Notably, there was a positive correlation with engagement for content
related to hotel management activities and, among smaller groups, to sustainability. The results will expand FGCrelated
investigation within the hotel sector and will be of interest to firms seeking effective communication
strategies. | vi |
dc.language.iso | en | vi |
dc.publisher | Elservier | vi |
dc.subject | Firm-generated content,Twitter,Natural language processing,Topic modelling,Latent Dirichlet allocation,Engagement,Hotel | vi |
dc.title | Topic-based engagement analysis: Focusing on hotel industry Twitter accounts | vi |
dc.type | Article | vi |