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Social Media-Based Tourist Flow Weighting

In: Information and Communication Technologies in Tourism 2023

Author

Listed:
  • Christian Weismayer

    (Modul University Vienna)

  • Ilona Pezenka

    (FH Wien der WKW University of Applied Sciences for Management & Communication)

  • Katharina Ladurner

    (Modul University Vienna)

Abstract

The identification of tourism flows is of great importance for the tourism industry to design memorable experiences. Since Millions of smartphone users are sharing their routes on online social networks (OSNs), social media analytics (SMA) based on location-based social networks (LBSNs) became a powerful tool to analyze tourism flows. Thus, this paper proposes a novel analytical approach to investigate tourism flows based on geotagged social media data through the weighted inclusion of comments and likes.

Suggested Citation

  • Christian Weismayer & Ilona Pezenka & Katharina Ladurner, 2023. "Social Media-Based Tourist Flow Weighting," Springer Proceedings in Business and Economics, in: Berta Ferrer-Rosell & David Massimo & Katerina Berezina (ed.), Information and Communication Technologies in Tourism 2023, pages 172-176, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-25752-0_20
    DOI: 10.1007/978-3-031-25752-0_20
    as

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