态势是行为的动因,它反映了个人的社会存在,同时主导个人的社会行为。当前社会态势的感知手段多通过大范围的问卷测评,能够准确获知被试者的心理要素。但是受时效性、社会赞许性等因素影响,以及测评周期长、成本高,无法及时大规模采集。近些年,我国信息科技事业得到了迅猛发展,为社会态势感知研究的发展提供了新的契机,能够很好地弥补传统研究方法的局限,使通过网络数据实现对用户社会态势要素的计算预测成为可能。本报告在新浪“微博”平台,通过大规模获取北京用户社交网络的网上数据,提取了用户网上行为、文本内容等特征。针对北京地区,开展了马航事件、昆明事件和公交地铁调价听证会期间的公众社会态势研究。结果表明,本系统可对事件前后的公众社会态势进行及时感知,为公共政策的制定提供数据支持。
<<In recent years,the information technology industry in our country has been developing rapidly. The development of information science technology and the Internet platform provides a new opportunity for the development of social situation perception. It can be helpful to make up for the limitations of traditional research methods through the network data used to compute user psychological factors. In view of this,the network data is the ideal way of social situation perception research,and is a rapid trend to establish subjective social situation analysis system. This report focuses on Sina “micro-blog” platform. Through the online data acquisition of large-scale social network user,the features of user online behavior,the content of online text are extracted. Facing to Beijing area,this report carries out the computation of public attitudes during different events. Results show that,the system can figure out the public social situation timely before and after the event,and provides data support for the formulation of public policies.
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