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

  • Masahiro Kajikawa Nagoya University
  • Takafumi Miyasaka Nagoya University
  • Yutaka Kubota Nagoya University
  • Akihiro Oba Chuo University
  • Katori Miyasaka Nihon University
Keywords: Country of origin, Nature-based tourism, Representativeness, Sampling bias, Social networking service, Spatial visitor distribution, Twitter

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.

References

Batra, A. (2009). Senior pleasure tourists: examination of their demography, travel experience, and travel behavior upon visiting the Bangkok metropolis. International Journal of Hospitality & Tourism Administration, 10(3), 197–212. doi: 10.1080/15256480903088105.

Blank, G. (2017). The digital divide among Twitter users and its implications for social research. Social Science Computer Review, 35(6), 679–697. doi: 10.1177/0894439316671698.

Brian, D. (2023). Social network usage & growth statistics: how many people use social media in 2023? https://backlinko.com/social-media-users (21.11.2023).

Cessford, G., & Muhar, A. (2003). Monitoring options for visitor numbers in national parks and natural areas. Journal for Nature Conservation, 11(4), 240–250. doi: 10.1078/1617-1381-00055.

Chua, A., Servillo, L., Marcheggiani, E., & Moere, A. V. (2016). Mapping Cilento: using geotagged social media data to characterize tourist flows in southern Italy. Tourism Management, 57, 295–310. doi: 10.1016/j.tourman.2016.06.013.

Fischer, F. (2012). VGI as big data: a new but delicate geographic data-source. GeoInformatics, 15(3), 46–47.

García-Palomares, J. C., Gutiérrez, J., & Mínguez, C. (2015). Identification of tourist hot spots based on social networks: a comparative analysis of European metropolises using photo-sharing services and GIS. Applied Geography, 63, 408–417. doi: 10.1016/j.apgeog.2015.08.002

Ghermandi, A., Camacho-Valdez, V., & Trejo-Espinosa, H. (2020). Social media-based analysis of cultural ecosystem services and heritage tourism in a coastal region of Mexico. Tourism Management, 77, 104002. doi: 10.1016/j.tourman.2019.104002

Ghermandi, A., & Sinclair, M. (2019). Passive crowdsourcing of social media in environmental research: a systematic map. Global Environmental Change, 55, 36–47. doi: 10.1016/j.gloenvcha.2019.02.003.

GlobalWebIndex (2020). Japan: Key Digital Behaviors and Trends over Time and Across Demographics. pp. 9.

Hausmann, A., Toivonen, T., Slotow, R., Tenkanen, H., Moilanen, A., Heikinheimo, V., & Di Minin, E. (2018). Social media data can be used to understand tourists’ preferences for nature‐based experiences in protected areas. Conservation Letters, 11(1), e12343. doi: 10.1111/conl.12343.

Heikinheimo, V., Järv, O., Tenkanen, H., Hiippala, T., & Toivonen, T. (2022). Detecting country of residence from social media data: a comparison of methods. International Journal of Geographical Information Science, 36(10), 1931–1952. doi: 10.1080/13658816.2022.2044484.

Heikinheimo, V., Minin, E. D., Tenkanen, H., Hausmann, A., Erkkonen, J., & Toivonen, T. (2017). User-generated geographic information for visitor monitoring in a national park: a comparison of social media data and visitor survey. ISPRS International Journal of Geo-Information, 6(3), 85. doi: 10.3390/ijgi6030085.

Ichikawa, Y., Hata, T., & Matsui, K. (2016). 日本人・外国人ツーリストの観光特性とイメージにみる白川郷の世界遺産観光 [Characteristics of heritage tourism from the viewpoint of Japanese and foreign tourist’s behavior and images in the Shirakawago]. Tsukuba studies in human geography, 36, 11–28. (in Japanese)

Japan National Tourism Organization (2023). Japan Tourism Statistics. https://statistics.jnto.go.jp/en/graph/ (21.11.2023).

Japan Tourism Agency (2020a). White paper on tourism in Japan, 2020 (summary). https://www.mlit.go.jp/kankocho/en/siryou/content/001375676.pdf (21.11.2023).

Japan Tourism Agency (2020b). International visitor survey: calendar year 2019. https://www.mlit.go.jp/kankocho/en/siryou/toukei/content/001335770.xls (21.11.2023).

Keeler, B. L., Wood, S. A., Polasky, S., Kling, C., Filstrup, C. T., & Downing, J. A. (2015). Recreational demand for clean water: evidence from geotagged photographs by visitors to lakes. Frontiers in Ecology and the Environment, 13(2), 76–81. doi: 10.1890/140124.

Kalinić, C. & Vujičić, M. (2019) A subnational assessment of hotel social media metrics – the case of Serbia. Geographica Pannonica, 23(2), 87–101. doi: 10.5937/gp23-19968.

Kemp, S. (2023). Digital 2023: Japan. https://datareportal.com/reports/digital-2023-japan (21.11.2023).

Kim, Y., Kim, C. K., Lee, D. K., Lee, H. W., & Andrada, R. I. T. (2019). Quantifying nature-based tourism in protected areas in developing countries by using social big data. Tourism Management, 72, 249–256. doi: 10.1016/j.tourman.2018.12.005.

Liao, Y., Yeh, S., & Jeuken, G. S. (2019). From individual to collective behaviours: exploring population heterogeneity of human mobility based on social media data. EPJ Data Science, 8(1), 34. doi: 10.1140/epjds/s13688-019-0212-x.

Luque-Gil, A. M., Gómez-Moreno, M. L., & Peláez-Fernández, M. A. (2018). Starting to enjoy nature in Mediterranean mountains: crowding perception and satisfaction. Tourism Management Perspectives, 25, 93–103. doi: 10.1016/j.tmp.2017.11.006.

Lu, W., & Stepchenkova, S. (2012). Ecotourism experiences reported online: classification of satisfaction attributes. Tourism Management, 33(3), 702–712. doi: 10.1016/j.tourman.2011.08.003.

Ministry of Internal Affairs and Communications (2020). White paper 2020: information and communications in Japan. https://www.soumu.go.jp/johotsusintokei/whitepaper/eng/WP2020/2020-index.html (21.11.2023).

Ministry of the Environment (2023). 国立公園利用者数(公園、年次別)[Number of national park visitors by park and year]. https://www.env.go.jp/park/doc/data/natural/naturalpark_04.pdf (21.11.2023).

Miyasaka, T., Oba, A., Akasaka, M., & Tsuchiya, T. (2018). Sampling limitations in using tourists’mobile phones for GPS-based visitor monitoring. Journal of Leisure Research, 49(3–5), 298–310. doi: 10.1080/00222216.2018.1542526.

Muñoz, L., Hausner, V., Brown, G., Runge, C., & Fauchald, P. (2019). Identifying spatial overlap in the values of locals, domestic-and international tourists to protected areas. Tourism Management, 71, 259–71. doi: 10.1016/j.tourman.2018.07.015.

Rusdi, J. F., Salam, S., Abu, N. A., Sunaryo, B., Taufiq, R., & Muchlis, L. S. (2019). Dataset smartphone usage of international tourist behavior. Data in Brief, 27. doi: 10.1016/j.dib.2019.104610.

Sinclair, M., Mayer, M., Woltering, M., & Ghermandi, A. (2020). Using social media to estimate visitor provenance and patterns of recreation in Germany's national parks. Journal of Environmental Management, 263, 110418. doi: 10.1016/j.jenvman.2020.110418

Sotiriadis, M. D. (2017). Sharing tourism experiences in social media: a literature review and a set of suggested business strategies. International Journal of Contemporary Hospitality Management, 29(1), 179–225. doi: 10.1108/IJCHM-05-2016-0300.

Stankov, U., Jovanović, T., Pavluković, V., Kalinić, Č., Drakulić-Kovačević, N., & Cimbaljević, M. (2018). A regional survey of current practices on destination marketing organizations’ Facebook Pages: the case of EU and U.S. Geographica Pannonica, 22(2), 81–96. doi: 10.5937/22-16673.

Van Zanten, B. T., Van Berkel, D. B., Meentemeyer, R. K., Smith, J. W., Tieskens, K. F., & Verburg, P. H. (2016). Continental-scale quantification of landscape values using social media data. Proceedings of the National Academy of Sciences, 113(46), 12974–9. doi: 10.1073/pnas.1614158113.

Vu, H. Q., Li, G., Law, R., & Ye, B. H. (2015). Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos. Tourism Management, 46, 222–32. doi: 10.1016/j.tourman.2014.07.003.

Winter, P. L., Selin, S., Cerveny, L., & Bricker, K. (2020). Outdoor recreation, nature-based tourism, and sustainability. Sustainability, 12(1), 81. doi: 10.3390/su12010081.

Wood, S. A., Guerry, A. D., Silver, J. M., & Lacayo, M. (2013). Using social media to quantify nature-based tourism and recreation. Scientific Reports, 3, 2976. doi: 10.1038/srep02976.

World Tourism Organization – UNWTO. (2019). International Tourism Highlights, 2019 Edition. pp. 24. doi: 10.18111/9789284421152.

Yoshimura, N., & Hiura, T. (2017). Demand and supply of cultural ecosystem services: use of geotagged photos to map the aesthetic value of landscapes in Hokkaido. Ecosystem Services, 24, 68–78. doi: 10.1016/j.ecoser.2017.02.009.

Published
2023/12/29
Section
Original Research