Representation of online image of tourist destination: a content analysis of Huangshan

Lian, Tonghui; Yu, Chongchong

doi:10.1080/10941665.2017.1368678

Cited by 35 publications

(27 citation statements)

References 115 publications

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“…Qunar.com ( https://www.qunar.com/ ), as China's leading travel search engine, is the largest Chinese online travel sharing website. The data from Qunar.com has been applied, for example, to the study of tourists' rating behavior ( Zhang, Zhang, & Yang, 2016 ), tourist movement ( Jin et al, 2018 ; Mou, Zheng, et al, 2020 ) and destination image ( Lian & Yu, 2017 ). The website provides an intelligent editing scheme for travel blogs: when writing blogs on the website, tourists can set up spatio-temporal labels (recorded in the source code of the blog's webpage) of the attractions involved in the blog.…”

Section: Methodsmentioning

confidence: 99%

Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data

Zheng

Mou

Zhang

et al. 2021

Computers, Environment and Urban Systems

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Geo-located travel blogs, a new data source, enable to achieve more detailed analysis of tourists' spatio-temporal behavior. Taking Chinese tourists in Nordic countries as the research object, this paper focuses on their behavior, seasonal patterns and complex network effects by using geo-located travel blog data collected from Qunar.com . The results show that: (1) Chinese tourists visiting Nordic countries are often experienced in traveling. The local climate during the cold season does not prevent them from pursuing the aurora scenery. (2) The travel behavior of Chinese tourists is spatially heterogeneous. The network analysis reveals that Iceland showcases stronger, compared to the other Nordic countries, community independence and small world effect. (3) During the warm season, Chinese tourists choose a variety of destinations, while in cold season, they tend to choose destinations with higher chances for spotting the northern lights. These results provide helpful information for the tourism management departments of Nordic countries to improve their marketing and development efforts directed for Chinese tourists.

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Section: Methodsmentioning

confidence: 99%

Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data

Zheng

Mou

Zhang

et al. 2021

Computers, Environment and Urban Systems

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“…Using the qualitative content analysis approach could extract the valuable contextual information embedded in the textual content. The systematic classification process of encoding the destination attributes and identifying attribute categories is the core of the qualitative content analysis approach in DI studies (Lian and Yu 2017 ). In addition, inter-coder reliability must be carefully considered, which means that different coders need to produce the same encoding results in the same way (Lian and Yu 2017 ).…”

Section: Methodsmentioning

confidence: 99%

Comparing online travel review platforms as destination image information agents

Guo

Pesonen

Komppula

2021

Inf Technol Tourism

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Online travel reviews have been extensively used as an important data source in tourism research. Typically, data for online travel review research is collected only from one platform. However, drawing definite conclusions based on single platform analyses may thus produce biases and lead to erroneous conclusions and decisions. Therefore, this research verifies whether or not there are discrepancies and commonalities between different travel review platforms. In this study, five native Chinese travel review platforms were selected: Ctrip; Qyer; Mafengwo; Tuniu; and Qunar. Using a mixed content analysis method, the destination image of Finland was extracted from 10,197 travel reviews in Simplified Chinese as the destination image is a popular topic in online review research. Results show Finland’s destination image representation varies between Chinese travel review platforms. This discrepancy is especially prominent in the dimension of functional and mixed functional-psychological destination attributes. Significant theoretical contributions and managerial implications for the analysis of online travel reviews and destination image research are discussed.

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“…This study adopted a compound content analysis-semiotic analysis methodology. This method was used by previous tourism research on photographs published in print media (e.g., travel brochures and guidebooks) (Jenkins 2003) and on the Internet (Hunter 2013(Hunter , 2015(Hunter , 2016Lian & Yu 2017;Stepchenkova & Zhan 2013). Specifically, content analysis was adopted to identify types of visual representations in destination-related photographs; semiotic analysis was used to identify the symbolic meaning of these visual representations (e.g., Hunter 2015; Lian & Yu 2017).…”

Section: Visual Methodologymentioning

confidence: 99%

“…Yet, semiotic studies remain scarce in relation to social media-based visuals in tourism. A few studies examined the adoption of firm-and/or consumer-generated photographs for building and perpetuating a particular destination image (e.g., Hunter 2013Hunter , 2015Hunter , 2016Lian & Yu 2017;Pennington & Thomsen 2010;Thomsen & Vester 2016). For instance, Thomsen and Vester (2016) used Peirce's sign system to develop a visual semiotic-based authenticity typology including iconic, indexical and symbolic authenticity.…”

Section: Semioticsmentioning

confidence: 99%

See 1 more Smart Citation

Social media-based visual humour use in tourism marketing: a semiotic perspective

2019

EJHR

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Tourism firms using visual social media marketing are struggling with its implementation, specifically in formulating engagement-based visual message strategies. Yet, creating such appealing posts can lead to positive brand and financial outcomes. Humour has been identified as a potent tool for social media communication, given its capability to develop social interactions. Yet, how humour works on social media is not well understoodspecifically its visual form. Treating humour as a symbolic resource, this study adopted a compound content analysis-semiotic analysis to identify visual content and its symbolic meaning embedded in destination marketing organization (DMO)'s social media posts. 200 Sina Weibo posts containing humour images initiated by 5 Chinese provincial DMOs were collected. The results show 6 types of humour content and 6 types of symbolic meaningnone of which are productrelated. This study advances the tourism literature and humour theory, and offers tourism firms a holistic view of how to fully leverage social media-based visual humour to achieve consumer reach and engagement.

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Representation of online image of tourist destination: a content analysis of Huangshan

Cited by 35 publications

References 115 publications

Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data

Chinese tourists in Nordic countries: An analysis of spatio-temporal behavior using geo-located travel blog data

Comparing online travel review platforms as destination image information agents

Social media-based visual humour use in tourism marketing: a semiotic perspective

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