TY - GEN
T1 - Prediction of social mood on Chinese societal risk perception
AU - Dong, Yinghong
AU - Chen, Hao
AU - Tang, Xijin
AU - Qian, Weining
AU - Zhou, Aoying
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/24
Y1 - 2015/12/24
N2 - Modern China is exposed to many societal risks in the process of social transformation and globalization. Previous psychological researches have proven that emotion is of importance in individual risk perception. Could the effect apply to large societies? The five social mood time series including happiness, disgust, fear, anger and sadness were obtained by analyzing the text content of daily Sina Weibo using the five basic mood lexicon and term-based matching technique. Then the seven societal risk perceptions including social stability risk, daily life risk, resource & environment risk, public morals risk, government management risk, national security risk and economic & finance risk were gotten by corresponding the public searching behavior on Baidu search engine to the societal risk perception psychologically. Then the correlation between the social moods and societal risk perceptions was investigated by Granger causality analysis and liner regression model. The result found that social moods are predictive of societal risk perceptions but the effect of different kinds of social mood is distinguishing. The four negative moods predict societal risk perceptions positively which means negative social moods increase the public risk perception to societal risk factors. The research manifested that capturing public psychological characteristics on social media was feasible.
AB - Modern China is exposed to many societal risks in the process of social transformation and globalization. Previous psychological researches have proven that emotion is of importance in individual risk perception. Could the effect apply to large societies? The five social mood time series including happiness, disgust, fear, anger and sadness were obtained by analyzing the text content of daily Sina Weibo using the five basic mood lexicon and term-based matching technique. Then the seven societal risk perceptions including social stability risk, daily life risk, resource & environment risk, public morals risk, government management risk, national security risk and economic & finance risk were gotten by corresponding the public searching behavior on Baidu search engine to the societal risk perception psychologically. Then the correlation between the social moods and societal risk perceptions was investigated by Granger causality analysis and liner regression model. The result found that social moods are predictive of societal risk perceptions but the effect of different kinds of social mood is distinguishing. The four negative moods predict societal risk perceptions positively which means negative social moods increase the public risk perception to societal risk factors. The research manifested that capturing public psychological characteristics on social media was feasible.
KW - Baidu Hot Words
KW - China
KW - Micro-blog
KW - Social Mood
KW - Societal Risk Perception
UR - https://www.scopus.com/pages/publications/84963940147
U2 - 10.1109/BESC.2015.7365966
DO - 10.1109/BESC.2015.7365966
M3 - 会议稿件
AN - SCOPUS:84963940147
T3 - 2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015
SP - 102
EP - 108
BT - 2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015
Y2 - 30 October 2015 through 1 November 2015
ER -