Identifying Social Attitude Based on Network Behavior

Authors

Zhou Yang, Institute of Psychology, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100012, China
Wang Xuefei, Institute of Psychology, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100012, China
Bai Shuotian, Hubei University of Economics, Wuhan 430205, China
Zhao Nan, Institute of Psychology, Chinese Academy of Sciences, Beijing 100190, China
Zhu Tingshao, Institute of Psychology, Chinese Academy of Sciences, Beijing 100190, China

Keywords

social attitude; network behavior; social governance

Document Type

Article

Abstract

Social governance pays much attention to requirement of all levels of society, so it is necessary to know public's social attitude,which reflects public's judgment and feeling. This paper introduced advantages and disadvantages of traditional self-report method by survey, andthen pointed out the feasibility of predicting social attitude based on Internet behavior.This paper introduces a model for predicting social attitudestudied by Institute of Psychology, Chinese Academy of Sciences. As for application, we calculated social attitude of Guangdong provinceusing the model described above. The research conducted by University of Pennsylvania predicted life satisfaction using tweets and created US wellbeing map.The data predicted has a high correlation with the result by survey. The method by using predicting model could reduce cost, ruleout the influence of social desirability, and acquire the public's social attitude timely, which could be a complement of conventional socialsurvey method, and mutually to be a meaningful support to public policy making.

First page

188

Last Page

195

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

窦玉沛. 从社会管理到社会治理:理论和实践的重大创新. 行政管理改革, 2014, (4):20-25.

牛文元. 社会治理结构的层阶优化三定则. 中国科学院院刊, 2015, 30(1):61-70.

周红云. 从社会管理走向社会治理:概念, 逻辑, 原则与路径. 团结, 2014, (1):28-32.

刘福刚, 许伟. 论社会治理的社会心态基础. 理论与改革, 2014, (5):169-172.

杨和平. 从社会管理走向社会治理:理念变迁与路径思考. 广州社会主义学院学报, 2014, (3):44-47.

Sirgy M J, Gurel-Atay E, Webb D, et al. Is materialism all that bad? Effects on satisfaction with material life, life satisfaction, and economic motivation. Social Indicators Research, 2013, 110(1):349-366.

周瑾. 论群体事件中的信息传播与群体心理. 科技创业月刊, 2011, 24(10):111-112.

Amiel T, Sargent S L. Individual differences in Internet usage motives. Computers in Human Behavior, 2004, 20(6):711-726.

马广海. 论社会心态:概念辨析及其操作化. 社会科学, 2008, (10):66-73.

杨宜音. 个体与宏观社会的心理关系:社会心态概念的界定. 社会学研究, 2006, 4:117-131.

王二平. 基于公众态度调查的社会预警系统. 中国科学院院刊, 2006, 21(2):125-131.

王林, 时勘, 赵杨, 等. 基于突发事件的微博集群行为舆情感知实验. 情报杂志, 2013, 32(5):32-37.

李珊珊. 互联网环境下社会调查方法的创新——以网络调查为例. 新闻世界, 2015, (4):103-104.

郑昱. 生活满意度与政府满意度的关系变迁——基于 2005 年-2010 年某省城乡居民社会态度的调查数据. 天津行政学院学报, 2014, 16(3):20-26.

严火其, 李义波, 尤晓霖, 等. 中国公众对 "动物福利" 社会态度的调查研究. 南京农业大学学报:社会科学版, 2013, (3):99-105.

周敏. 阐释、流动、想象:风险社会下的信息流动与传播管理. 北京:北京大学出版社. 2014.

冯波, 刘亮. 微博中的社会心态与社会治理. 中共杭州市委党校学报, 2015, (6):014.

Brunswik E. Perception and the Representative Design of Psychological Experiments. Oakland, California:UC Press, 1956.

Gosling S D, Ko S, Mannarelli T, et al. A room with a cue:personality judgments based on offices and bedrooms. Journal of Personality and Social Psychology, 2002, 82(3):379.

Yee N, Harris H, Jabon M, et al. The expression of personality in virtual worlds. Social Psychological and Personality Science, 2011, 2(1):5-12.

Gosling S D, Augustine A, Vazire S, et al. Manifestations of personality in online social networks:Self-reported Facebook-related behaviors and observable profile information. Cyberpsychology, Behavior, and Social Networking, 2011, 14(9):483-488.

Correa T, Hinsley A W, De Z, et al. Who interacts on the Web?:The intersection of users' personality and social media use. Computers in Human Behavior, 2010, 26(2):247-253.

Campbell A J, Cumming S R, Hughes I, et al. Internet use by the socially fearful:addiction or therapy? CyberPsychology & Behavior, 2006, 9(1):69-81.

朱廷劭, 李昂, 宁悦, 等. 网络社会中个体人格特征及其行为关系. 兰州大学学报(社会科学版), 2011, (5):011.

李昂, 郝碧波, 白朔天, 等. 基于网络数据分析的心理计算:针对心理健康状态与主观幸福感. 科学通报, 2015, 60(11):994- 1001.

Craig R J. Assessing personality and psychopathology with interviews. In:Graham J R, Naglieri J A, Eds. Handbook of Psychology. Hoboken, NJ:Wiley, 2003. 487-508.

白朔天, 郝碧波, 李昂, 等. 微博用户的抑郁和焦虑预测. 中国科学院大学学报, 2014, 31(6):814-820.

Golbeck J, Robles C, Edmondson M, et al. Predicting personality from twitter. Paper presented at the Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on, 2011.

Schwartz H A, Sap M, Kern M L, et al. Predicting individual well-being through the language of social media. Paper presented at the Biocomputing 2016:Proceedings of the Pacific Symposium, 2016

Clark A E, Kristensen N, Westergård-Nielsen, et al. Economic satisfaction and income rank in small neighbourhoods. Journal of the European Economic Association, 2009, 7(2-3):519-527.

Schwartz H A, Eichstaedt J C, Kern M L, et al. Characterizing geographic variation in well-being using tweets. Paper presented at the ICWSM, 2013.

Zhou Y, Lu T, Zhu T, et al. Environmental incidents detection from Chinese microblog based on sentiment analysis human centered computing. Springer, 2016. 849-854.

Li W, Zhou Y, Lu T, et al. Predicting mass incidents from weibo human centered computing:Springer, 2016. 895-900.

Recommended Citation

Yang, Zhou; Xuefei, Wang; Shuotian, Bai; Nan, Zhao; and Tingshao, Zhu (2017) "Identifying Social Attitude Based on Network Behavior," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 32 : Iss. 2 , Article 9.
DOI: https://doi.org/10.16418/j.issn.1000-3045.2017.02.009
Available at: https://bulletinofcas.researchcommons.org/journal/vol32/iss2/9