Topic-based engagement analysis: Focusing on hotel industry Twitter accounts
| 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.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.identifier.uri | https://thuvienso.hoasen.edu.vn/handle/123456789/15428 | |
| 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 |
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