TY - GEN
T1 - An empirical analysis on communications about Electronic Nicotine Delivery Systems (ENDS) in Chinese social media
AU - Cui, Kainan
AU - Zheng, Xiaolong
AU - Zeng, Daniel
AU - Leischow, Scott
PY - 2014/1/1
Y1 - 2014/1/1
N2 - China, with a smoking population of over 350 million, is the largest potential market for electronic nicotine delivery systems (ENDS). The importance of understanding how ENDS are promoted and discussed in China cannot be overstated. However, related research is sparse. This study aims to explore the nature and extent of discussions around ENDS in Chinese social media, which have the power to influence a massive audience. We collected the data from Sina Weibo, which is one of the most popular Chinese microblogging sites. The dataset, which consisted of 999 messages, was analyzed in terms of polarities, genres and discussion topics. Statistical test and regression analysis were used to explore whether those features of messages will affect the message popularity, which was measured by repost number and comment number. The results of our study showed that 1) The majority of the messages were Pro-ENDS; 2) The number of comments received by messages of different genes varies significantly; 3) Whether a message contains specific topics or not will affect the comment number.
AB - China, with a smoking population of over 350 million, is the largest potential market for electronic nicotine delivery systems (ENDS). The importance of understanding how ENDS are promoted and discussed in China cannot be overstated. However, related research is sparse. This study aims to explore the nature and extent of discussions around ENDS in Chinese social media, which have the power to influence a massive audience. We collected the data from Sina Weibo, which is one of the most popular Chinese microblogging sites. The dataset, which consisted of 999 messages, was analyzed in terms of polarities, genres and discussion topics. Statistical test and regression analysis were used to explore whether those features of messages will affect the message popularity, which was measured by repost number and comment number. The results of our study showed that 1) The majority of the messages were Pro-ENDS; 2) The number of comments received by messages of different genes varies significantly; 3) Whether a message contains specific topics or not will affect the comment number.
KW - Electronic nicotine delivery devices
KW - advertising and Promotion
KW - micro-blogging systems
KW - public opinion
KW - social media
UR - http://www.scopus.com/inward/record.url?scp=84905233484&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905233484&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-08416-9_4
DO - 10.1007/978-3-319-08416-9_4
M3 - Conference contribution
AN - SCOPUS:84905233484
SN - 9783319084152
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 37
EP - 43
BT - Smart Health - International Conference, ICSH 2014, Proceedings
PB - Springer Verlag
T2 - 2nd International Conference for Smart Health, CSH 2014
Y2 - 10 July 2014 through 11 July 2014
ER -