Hiển thị biểu ghi dạng vắn tắt

dc.contributor.authorRabad´an-Martín, Inmaculada
dc.contributor.authorBarcos-Redín, Lucía
dc.contributor.authorPereira-Delgado, Jorge
dc.contributor.authorAguado- Correa, Francisco
dc.contributor.authorPadilla-Garrido, Nuria
dc.date.accessioned2024-07-08T07:56:08Z
dc.date.available2024-07-08T07:56:08Z
dc.date.issued2025
dc.identifier.urihttps://thuvienso.hoasen.edu.vn/handle/123456789/15428
dc.descriptionTourism Management 106 (2025) 104981vi
dc.description.abstractIn 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.isoenvi
dc.publisherElserviervi
dc.subjectFirm-generated content,Twitter,Natural language processing,Topic modelling,Latent Dirichlet allocation,Engagement,Hotelvi
dc.titleTopic-based engagement analysis: Focusing on hotel industry Twitter accountsvi
dc.typeArticlevi


Các tập tin trong tài liệu này

Thumbnail

Tài liệu này xuất hiện trong Bộ sưu tập sau đây

Hiển thị biểu ghi dạng vắn tắt