IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v17y2017i2d10.1007_s40558-016-0066-z.html
   My bibliography  Save this article

Semantic social media analysis of Chinese tourists in Switzerland

Author

Listed:
  • Zhan Liu

    (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

  • Jialu Shan

    (International Institute for Management Development (IMD))

  • Nicole Glassey Balet

    (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis))

  • Gang Fang

    (Hangzhou Dianzi University)

Abstract

In recent years, Sina Weibo, a Twitter-like social network service in China, has attracted attention from scholars in the domain of information systems, as the spread and influence of users’ opinions are increasingly important, particularly in the tourism industry. This study examined the behaviors of Chinese tourists in Switzerland by adopting a semantic-based linked data methodology. A total of 103,778 Weibo messages shared with Swiss locations were collected between January 2013 and April 2015. We addressed questions about Chinese travelers’ profiles, trends in keywords, and differences between first time and repeat visitors. Moreover, we implemented a semantic search engine by employing linked data technologies to provide useful information about Chinese tourists in Switzerland, both for the tourism industry and individual tourists.

Suggested Citation

  • Zhan Liu & Jialu Shan & Nicole Glassey Balet & Gang Fang, 2017. "Semantic social media analysis of Chinese tourists in Switzerland," Information Technology & Tourism, Springer, vol. 17(2), pages 183-202, June.
    • Handle: RePEc:spr:infott:v:17:y:2017:i:2:d:10.1007_s40558-016-0066-z
    DOI: 10.1007/s40558-016-0066-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-016-0066-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40558-016-0066-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bernard J. Jansen & Mimi Zhang & Kate Sobel & Abdur Chowdury, 2009. "Twitter power: Tweets as electronic word of mouth," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2169-2188, November.
    2. Chiara Francalanci & Ajaz Hussain, 2016. "Discovering social influencers with network visualization: evidence from the tourism domain," Information Technology & Tourism, Springer, vol. 16(1), pages 103-125, March.
    3. Guan, Wanqiu & Gao, Haoyu & Yang, Mingmin & Li, Yuan & Ma, Haixin & Qian, Weining & Cao, Zhigang & Yang, Xiaoguang, 2014. "Analyzing user behavior of the micro-blogging website Sina Weibo during hot social events," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 340-351.
    4. Xiang, Zheng & Gretzel, Ulrike, 2010. "Role of social media in online travel information search," Tourism Management, Elsevier, vol. 31(2), pages 179-188.
    5. Li, Yuan & Gao, Haoyu & Yang, Mingmin & Guan, Wanqiu & Ma, Haixin & Qian, Weining & Cao, Zhigang & Yang, Xiaoguang, 2015. "What are Chinese talking about in hot weibos?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 546-557.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zachlod, Cécile & Samuel, Olga & Ochsner, Andrea & Werthmüller, Sarah, 2022. "Analytics of social media data – State of characteristics and application," Journal of Business Research, Elsevier, vol. 144(C), pages 1064-1076.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhan Liu & Jialu Shan & Nicole Glassey Balet & Gang Fang, 0. "Semantic social media analysis of Chinese tourists in Switzerland," Information Technology & Tourism, Springer, vol. 0, pages 1-20.
    2. Luo, Qiuju & Zhong, Dixi, 2015. "Using social network analysis to explain communication characteristics of travel-related electronic word-of-mouth on social networking sites," Tourism Management, Elsevier, vol. 46(C), pages 274-282.
    3. Jiayin Pei & Guang Yu & Xianyun Tian & Maureen Renee Donnelley, 2017. "A new method for early detection of mass concern about public health issues," Journal of Risk Research, Taylor & Francis Journals, vol. 20(4), pages 516-532, April.
    4. Revilla Hernández, Mercedes & Santana Talavera, Agustín & Parra López, Eduardo, 2016. "Effects of co-creation in a tourism destination brand image through twitter," MPRA Paper 77595, University Library of Munich, Germany, revised 21 Nov 2016.
    5. Tamara Curlin & Mirjana Pejic Bach & Ivan Miloloza, 2019. "Use of Twitter by National Tourism Organizations of European Countries," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(1-B), pages 226-241.
    6. Namho Chung & Inessa Tyan & Hee Chung Chung, 2017. "Social Support and Commitment within Social Networking Site in Tourism Experience," Sustainability, MDPI, vol. 9(11), pages 1-23, November.
    7. Wang, Xu & Baesens, Bart & Zhu, Zhen, 2019. "On the optimal marketing aggressiveness level of C2C sellers in social media: Evidence from china," Omega, Elsevier, vol. 85(C), pages 83-93.
    8. Mahan, Joseph E. & Seo, Won Jae & Jordan, Jeremy S. & Funk, Daniel, 2015. "Exploring the impact of social networking sites on running involvement, running behavior, and social life satisfaction," Sport Management Review, Elsevier, vol. 18(2), pages 182-192.
    9. Tao Liu & Ying Zhang & Huan Zhang & Xiping Yang, 2021. "A Methodological Workflow for Deriving the Association of Tourist Destinations Based on Online Travel Reviews: A Case Study of Yunnan Province, China," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    10. Smith, Andrew N. & Fischer, Eileen & Yongjian, Chen, 2012. "How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 102-113.
    11. Ahmed Ibrahim Alzahrani & T. Ramayah & Nalini Suppiah & Osama Alfarraj & Nasser Alalwan, 2020. "Modeling Blog Usage From a Developing Country Perspective Using Structural Equation Modeling (SEM)," SAGE Open, , vol. 10(3), pages 21582440209, July.
    12. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    13. Xuan Yang & Xiao Li & Daning Hu & Harry Jiannan Wang, 2021. "Differential impacts of social influence on initial and sustained participation in open source software projects," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(9), pages 1133-1147, September.
    14. Yanlong Guo & Jiaying Yu & Han Zhang & Zuoqing Jiang, 2022. "A Study on Cultural Context Perception in Huizhou Cultural and Ecological Reserve Based on Multi-Criteria Decision Analysis," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    15. Krakover, Shaul & Corsale, Andrea, 2021. "Sieving tourism destinations: Decision-making processes and destination choice implications," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(1), pages 33-43.
    16. Bertrand Jayles & Clément Sire & Ralf H J M Kurvers, 2021. "Crowd control: Reducing individual estimation bias by sharing biased social information," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-28, November.
    17. Qu, Hailin & Lee, Haeyoung, 2011. "Travelers’ social identification and membership behaviors in online travel community," Tourism Management, Elsevier, vol. 32(6), pages 1262-1270.
    18. Jalees, Tariq & Tariq, Huma & Zaman, Syed Imran & Alam Kazmi, Syed Hasnain, 2015. "Social Media in Virtual Marketing," MPRA Paper 69868, University Library of Munich, Germany, revised 10 Apr 2015.
    19. Li, Xiangping & Li, Xiang (Robert) & Hudson, Simon, 2013. "The application of generational theory to tourism consumer behavior: An American perspective," Tourism Management, Elsevier, vol. 37(C), pages 147-164.
    20. Benjamin Appiah Osei & Ama Nyenkua Abenyin, 2016. "Applying the Engell–Kollat–Blackwell model in understanding international tourists’ use of social media for travel decision to Ghana," Information Technology & Tourism, Springer, vol. 16(3), pages 265-284, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infott:v:17:y:2017:i:2:d:10.1007_s40558-016-0066-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.