
This dataset contains anonymized and aggregated data supporting the analyses presented in the manuscript entitled “Destination Songs, Cultural Sustainability, and Tourism-Related Behavioral Intentions.” The dataset includes derived results from user-generated content analysis and expert-based decision modeling. Specifically, it contains:(1) aggregated outputs from Latent Dirichlet Allocation (LDA) topic modeling,(2) summarized topic-level indicators used for semantic analysis, and(3) aggregated expert judgment matrices applied in the DEMATEL analysis. All data were derived from publicly available sources or voluntary expert participation and were processed to remove any personal or identifiable information. No raw user comments, usernames, user IDs, hyperlinks, timestamps, or individual expert responses are included. The dataset is provided to support transparency and reproducibility of the analytical procedures and is intended for academic and non-commercial research use only.
Destination Songs, Semantic Diffusion, e-WOM, Text Mining, LDA, DEMATEL, Tourism Behavior
Destination Songs, Semantic Diffusion, e-WOM, Text Mining, LDA, DEMATEL, Tourism Behavior
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
