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Sochi 2014 Olympics on Twitter: Perspectives of hosts and guests

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  • Kirilenko, Andrei P.
  • Stepchenkova, Svetlana O.

Abstract

Mega sports events create multiple benefits for the host country but can also bring into focus the political and social problems. This study provides a comprehensive description of the public discourse about Sochi 2014 Winter Olympics on Twitter in two languages, Russian and English. The former represents the perspective of hosts and the latter – that of the guests. The study traces the temporal dynamics of the most salient issues and conducts sentiment analysis of public attitudes. It also examines whether sentiments toward the Games changed as the event unfolded, that is, whether the event succeeded in creating a more positive image of the Games. It was found that while the positive attitudes expressed in the tweets about the Sochi Olympics improved throughout the course of the Games, this improvement was practically significant only for the hosts' segment of the sample, with much smaller improvement in the guests’ segment.

Suggested Citation

  • Kirilenko, Andrei P. & Stepchenkova, Svetlana O., 2017. "Sochi 2014 Olympics on Twitter: Perspectives of hosts and guests," Tourism Management, Elsevier, vol. 63(C), pages 54-65.
    • Handle: RePEc:eee:touman:v:63:y:2017:i:c:p:54-65
    DOI: 10.1016/j.tourman.2017.06.007
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    References listed on IDEAS

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    1. Mike Thelwall & Kevan Buckley & Georgios Paltoglou & Di Cai & Arvid Kappas, 2010. "Sentiment strength detection in short informal text," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2544-2558, December.
    2. Mariani, Marcello M. & Di Felice, Marco & Mura, Matteo, 2016. "Facebook as a destination marketing tool: Evidence from Italian regional Destination Management Organizations," Tourism Management, Elsevier, vol. 54(C), pages 321-343.
    3. Chen, Fangying & Tian, Lichao, 2015. "Comparative study on residents' perceptions of follow-up impacts of the 2008 Olympics," Tourism Management, Elsevier, vol. 51(C), pages 263-281.
    4. Shao, Jun & Li, Xiong & Morrison, Alastair M. & Wu, Bihu, 2016. "Social media micro-film marketing by Chinese destinations: The case of Shaoxing," Tourism Management, Elsevier, vol. 54(C), pages 439-451.
    5. Költringer, Clemens & Dickinger, Astrid, 2015. "Analyzing destination branding and image from online sources: A web content mining approach," Journal of Business Research, Elsevier, vol. 68(9), pages 1836-1843.
    6. Mike Thelwall & Kevan Buckley & Georgios Paltoglou & Di Cai & Arvid Kappas, 2010. "Sentiment strength detection in short informal text," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2544-2558, December.
    7. Vu, Huy Quan & Li, Gang & Law, Rob & Ye, Ben Haobin, 2015. "Exploring the travel behaviors of inbound tourists to Hong Kong using geotagged photos," Tourism Management, Elsevier, vol. 46(C), pages 222-232.
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    Cited by:

    1. Xue, Lan & Zhang, Yi, 2020. "The effect of distance on tourist behavior: A study based on social media data," Annals of Tourism Research, Elsevier, vol. 82(C).
    2. Ćurlin Tamara & Jaković Božidar & Miloloža Ivan, 2019. "Twitter usage in Tourism: Literature Review," Business Systems Research, Sciendo, vol. 10(1), pages 102-119, April.
    3. Estela Marine-Roig, 2017. "Measuring Destination Image through Travel Reviews in Search Engines," Sustainability, MDPI, vol. 9(8), pages 1-18, August.
    4. Ana Condeço-Melhorado & Inmaculada Mohino & Borja Moya-Gómez & Juan Carlos García-Palomares, 2020. "The Rio Olympic Games: A Look into City Dynamics through the Lens of Twitter Data," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    5. Eujin-Julia Kim & Yongjun Jo & Youngeun Kang, 2018. "Are Touristic Attractions Well-Connected in an Olympic Host City? A Network Analysis Measurement of Visitor Movement Patterns in Gangneung, South Korea," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    6. Keying Ding & Mian Yang & Shixian Luo, 2021. "Mountain Landscape Preferences of Millennials Based on Social Media Data: A Case Study on Western Sichuan," Land, MDPI, vol. 10(11), pages 1-17, November.
    7. Ljubica Knezevic Cvelbar & Mojca Mayr & Damjan Vavpotic, 2018. "Geographical mapping of visitor flow in tourism," Tourism Economics, , vol. 24(6), pages 701-719, September.
    8. Pantano, Eleonora & Dennis, Charles & De Pietro, Michela, 2021. "Shopping centers revisited: The interplay between consumers’ spontaneous online communications and retail planning," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    9. Andrei P Kirilenko & Svetlana Stepchenkova, 2018. "Tourism research from its inception to present day: Subject area, geography, and gender distributions," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-20, November.

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