TY  - CHAP
AB  - Abstract SNS, namely social networking sites, has become one of the most effective and fast channels of information diffusion and dissemination. As an influential way of online marketing, SNS has been increasingly used by tourism organizations and enterprises to shape their destination image. On the basis of previews literature of destination image and SNS, this paper used the text analysis software ROST Content Mining (ROST CM) System to do a case study of the SNS destination marketing of Singapore on Chinese market. The authors analyze the text related to Singapore tourism on the major SNS in mainland China: Renren, Sina Weibo, and Douban, through word frequency analysis and the social semantic network, to summarize the destination image of Singapore on SNS. The paper also focuses on the difference of image building by official and individual SNS. Results found by this paper can be used by the relevant tourism organizations and enterprises to improve their destination marketing and image building on SNS channels.
VL  - 11
SN  - 978-1-78560-271-9, 978-1-78560-270-2/1745-3542
DO  - 10.1108/S1745-354220150000011006
UR  - https://doi.org/10.1108/S1745-354220150000011006
AU  - Shen Han
AU  - Song Chengyi
AU  - Li Mimi
AU  - Jiang Qian
PY  - 2015
Y1  - 2015/01/01
TI  - Shaping Destination Images through Social Networking Sites: A Case Study of Singapore
T2  - Advances in Hospitality and Leisure
T3  - Advances in Hospitality and Leisure
PB  - Emerald Group Publishing Limited
SP  - 89
EP  - 107
Y2  - 2024/04/19
ER  -