基于网络平台的群体和个体的社会态度研究
Identifying Social Attitude Based on Network Behavior
Identifying Social Attitude Based on Network Behavior
作者
周阳(中国科学院心理研究所 北京 100190;中国科学院大学 北京 100012)
王雪菲(中国科学院心理研究所 北京 100190;中国科学院大学 北京 100012)
白朔天(湖北经济学院 武汉 430205)
赵楠(中国科学院心理研究所 北京 100190)
朱廷劭(中国科学院心理研究所 北京 100190)
王雪菲(中国科学院心理研究所 北京 100190;中国科学院大学 北京 100012)
白朔天(湖北经济学院 武汉 430205)
赵楠(中国科学院心理研究所 北京 100190)
朱廷劭(中国科学院心理研究所 北京 100190)
中文关键词
社会态度;网络行为;社会治理
英文关键词
social attitude;network behavior;social governance
中文摘要
社会态度反映了民众对社会的判断和感受，是社会治理需要高度重视的内容。文章对传统社会调查方法的优劣进行了分析，进而指出基于互联网计算社会态度在理论和现实层面的可行性。本文介绍了中科院心理所课题组基于网络行为的社会态度计算模型，并应用该模型计算了广东省的社会态度，通过广东省各个城市的“地方经济满意度”这一社会态度指标与该区域的宏观经济指标的相关性进一步验证了模型的可解释性。同时介绍了美国宾夕法尼亚大学通过Twitter数据预测公民幸福感并绘制美国的幸福感地图。利用预测模型的计算方法所采用数据真实客观，排除了社会赞许性等因素的影响，并极大地降低了成本，缩短了原有的调研周期，初步实现了社会态度的实时计算感知，对长期动态监控各项社会态度指标有极大的现实意义。希望能够与线下的社会调查法优势互补，共同为社会治理提供辅助决策。
英文摘要
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.
DOI10.16418/j.issn.1000-3045.2017.02.009
作者简介
周阳,中科院心理所在读博士。研究方向为网络行为和心理分析、微博突发事件检测及微博舆情趋势预测。E-mail:zhouyang@psych.ac.cn
Zhou Yang Ph.D.candidate of Institute of Psychology,Chinese Academy of Sciences (CAS).Research direction covers behavior and psychology on network platform,event detection and prediction from microblog.E-mail:zhouyang@psych.ac.cn
朱廷劭,男,中科院心理所研究员。1999年和2005年分别获得中科院计算技术所和加拿大University of Alberta博士学位。研究工作涉及机器学习、汉语文语转换以及网络行为心理研究等多个领域,已在国内外权威杂志和知名国际会议发表学术论文60余篇。E-mail:tszhu@psych.ac.cn
Zhu Tingshao Male,earned his second Ph.D.at the University of Alberta,Canada in 2006.From 2008,he started working as a professor at the Graduate University of Chinese Academy of Sciences (CAS) in Beijing,and then moved to the Institute of Psychology,CAS,to focus on cyber psychology.He has published over 60 papers in major international academic conferences and journals.The main foci of his current work are web user behavior modeling,computational cyber psychology,and data mining.E-mail:tszhu@psych.ac.cn
Zhou Yang Ph.D.candidate of Institute of Psychology,Chinese Academy of Sciences (CAS).Research direction covers behavior and psychology on network platform,event detection and prediction from microblog.E-mail:zhouyang@psych.ac.cn
朱廷劭,男,中科院心理所研究员。1999年和2005年分别获得中科院计算技术所和加拿大University of Alberta博士学位。研究工作涉及机器学习、汉语文语转换以及网络行为心理研究等多个领域,已在国内外权威杂志和知名国际会议发表学术论文60余篇。E-mail:tszhu@psych.ac.cn
Zhu Tingshao Male,earned his second Ph.D.at the University of Alberta,Canada in 2006.From 2008,he started working as a professor at the Graduate University of Chinese Academy of Sciences (CAS) in Beijing,and then moved to the Institute of Psychology,CAS,to focus on cyber psychology.He has published over 60 papers in major international academic conferences and journals.The main foci of his current work are web user behavior modeling,computational cyber psychology,and data mining.E-mail:tszhu@psych.ac.cn
