决策是人类的高级认知活动之一。行为决策的研究在管理学、心理学等诸多学科中占据重要地位，对政策制定亦存在重大影响。但是，传统的基于实验的决策研究方式在理论假设、数据获取以及统计分析等方面都存在一定局限性。互联网的海量数据和大数据分析技术的发展为研究人类决策行为提供了新工具。本项目拟借助社交媒体文本分析技术，采用心理学和计算科学的研究方法，刻画现实世界里中国人描述风险和时间词汇的使用频数的客观分布，探索中国人主观概率函数和时间折扣函数的新型特征，为进一步建立新型决策理论提供实证依据。

Decision-making is one of the fundamental cognitive processes of human beings. Understanding how human minds make decisions is a promising and important target for basic scientific research. However, the experiment-based method used in the traditional decision-making research has several limitations in the process of developing hypothesis and collecting and analyzing data. Given that the development of big data technology provides new tool for studying behavioral decision making, the current project aims to explore new pattern of decision-making characteristics in China by using the method of social media text analysis. The findings of this project are expected to provide a better understanding of the underlying mechanism of decision-making, and present important future directions for developing new theory of decision making.