Quantifying Nationality Bias in Social Media Data on Different Platforms for Visitor Monitoring in Nikko National Park, Japan

Masahiro Kajikawa, Takafumi Miyasaka, Yutaka Kubota, Akihiro Oba, Katori Miyasaka

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Geotagged social media data have been used widely for visitor monitoring in protected areas. The data might, however, over or underestimate visitors from specific countries due to nationality bias, i.e., differences between nationality of actual visitors versus those visitors who post on social media. This study aimed to quantify nationality bias in social media data for visitor monitoring. We conducted a questionnaire survey in Nikko National Park, Japan. Questions covered the nationality of visitors and their usage of social media, and other visitor attributes and behavior. Foreign visitors had significantly different attributes and behaviors compared to Japanese. Non-Japanese Asian visitors were overrepresented in Instagram and Facebook data. In comparison, the X platform was more representative of all visitors. Nationality bias in different platforms needs more attention and further study in different areas.

Original languageEnglish
Pages (from-to)228-238
Number of pages11
JournalGeographica Pannonica
Volume27
Issue number4
DOIs
Publication statusPublished - 2023

Keywords

  • Country of origin
  • Nature-based tourism
  • Representativeness
  • Sampling bias
  • Social networking service
  • Spatial visitor distribution
  • Twitter

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