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Quantifying nationality bias in social media data on different platforms for visitor monitoring in Nikko National Park, Japan

Authors :
Kajikawa Masahiro
Miyasaka Takafumi
Kubota Yutaka
Oba Akihiro
Miyasaka Katori
Source :
Geographica Pannonica, Vol 27, Iss 4, Pp 228-238 (2023)
Publication Year :
2023
Publisher :
University of Novi Sad, Department of Geography, Tourism and Hotel Management, 2023.

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.

Details

Language :
English
ISSN :
03548724 and 18207138
Volume :
27
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Geographica Pannonica
Publication Type :
Academic Journal
Accession number :
edsdoj.b35c50351a9f4a65893f0b707c31c031
Document Type :
article
Full Text :
https://doi.org/10.5937/gp27-46222