Social Media Analytics and Value Creation in Urban Smart Tourism Ecosystems

Tobias Brandt, J Bendler, D Neumann

Research output: Contribution to journalArticleAcademicpeer-review

148 Citations (Scopus)


In this article, we demonstrate the potential value that the spatial and semantic analysis of social media messages can provide to smart tourism ecosystems. Building upon a showcase of 600,000 Twitter messages in San Francisco, we illustrate insights for stakeholders within the tourism sector from various analyses, including kernel density estimation and latent Dirichlet allocation. We show that social media analytics captures spatial patterns within the city that relate to the presence of users and the environmental and topical engagement. Furthermore, we outline how these patterns serve as an input to value creation for smart urban tourism.
Original languageEnglish
Pages (from-to)703-713
Number of pages11
JournalInformation and Management
Issue number6
Publication statusPublished - 16 Jan 2017

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