Photography and Destination Image: An Analysis of China Eastern Airline Facebook Photographs

Figures & data

Figure 1. The construction and deconstruction process of destination image.

Note. This table has been adapted from the original (Deng & Li, 2018).

Figure 2. The example of mode introduction.

Table 1. The top six destination that global tourists plan to visit.

	2021	2019
NO.1	The United States	Japan
NO.2	Japan, Spanish, Italy	The United States
NO.3	France, Greece	France, Spanish, Britain
NO.4	Britain	Germany, Korea, Singapore, Thailand
NO.5	Germany	Australia, Canada, China
NO.6	China, Australia, Thailand

Note. (Annual Report of China Inbound Tourism, 2021).

Table 2. Introduction of official Facebook page of airlines.

		Page created	Fans
Airlines in China	Air China	2013	1.03 million
	China Eastern Airlines	2015	5.3 million
	China Southern Airlines	2014	11.76 million
International Airlines	Air New Zealand	2008	2.04 million
	Korean Air	2012	0.58 million
	Air France	2010	7.23 million

Table 3. Criteria of sample selected.

Types	Criteria	Example
Photographs	include
Video	exclude
Photographs with several vector elements	include
Posters with all vector elements	exclude
Re-posted	exclude
News about airline itself	exclude

Table 4. Categorization of samples.

Figure 3. Example of analytical process.

Note. (@CEAir, 2022), used with permission.

Figure 4. The 24 solar terms and food.

Note. (@CEAir, 2022), used with permission.

Figure 5. Application of Chinese traditional color in painting.

Note. Chinese traditional colors: Color aesthetics in the Forbidden City (Guo & Li, 2020), used with permission.

Figure 6. The 24 solar terms and Chinese traditional color.

Note. .Chinese traditional colors: Color aesthetics in the Forbidden City (Guo & Li, 2020), used with permission

Figure 7. Photograph of Chinese tea.

Note. (@CEAir, 2022), used with permission.

Figure 8. Posters of ‘find the most of China’ series (the top one sets as figure 8(a); the bottom one sets as figure 8(b)).

Note. (@CEAir, 2022), used with permission.

Figure 9. Photographs of natural landscape of China.

Note. (@CEAir, 2022), used with permission.

Figure 10. Natural landscape published on World Emoji Day.

Note. (@CEAir, 2022), used with permission.

Figure 11. Urban landscape published on World Emoji Day (the photograph of Shanghai sets as figure 11(a) and the photograph of Beijing sets as figure 11(b)).

Note. (@CEAir, 2022), used with permission.

Figure 12. The old photographs of Shanghai and Beijing (the first photograph of old Shanghai sets as Figure 12(a) and the second photograph of old Beijing sets as Figure 12(b)).

Note. Top (Auckland Weekly News, 1932); Bottom (New Zealand Graphic, 1898).

Figure 13. A group photographs of airplanes.

Note. (@CEAir, 2022), used with permission.

Figure 14. A group photographs of staff.

Note. (@CEAir, 2022), used with permission.

Figure 15. Photograph of tourism activities (the top one sets as Figure 15(a) and the bottom one sets as Figure 15(b)).

Note.(@CEAir, 2022), used with permission.

Deng, N., & Li, X. (2018). Feeling a destination through the “right” photos: A machine learning model for DMOs’ photo selection. Tourism Management, 65, 267–278. https://doi.org/10.1016/j.tourman.2017.09.010

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Deng, N., Liu, J., Dai, Y., & Li, H. (2019). Different cultures, different photos: A comparison of Shanghai’s pictorial destination image between East and West. Tourism Management Perspectives, 30, 182–192. https://doi.org/10.1016/j.tmp.2019.02.016

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