Paradigm Change and Countermeasures of Social Science Research in the Era of Big Data
[Research purpose]It aims to help people understand the changes of human society in the era of big data,explore how to cope with the change of social science research paradigm driven by digital technology,so as to better understand and build digital human society.[Research method]On the basis of analyzing the characteristics of digital society and comparing with traditional social science research methods,this paper innovatively proves the viewpoint that the paradigm change brought by big data to social science research from the perspective of methodology.It believes that big data provides a"full sample"for social science research,which can be supported by data and theory from the perspective of combining macro and micro.It constructs multidisciplinary knowledge map,analyzing multi-source heterogeneous data,and promoting the transformation and upgrading of social science research.In order to improve the research efficiency and level of complex digital social system,it is proposed to suggest strategies to deal with the new changes of social science research from the aspects of researcher quality,discipline development,application tools,element support,open cooperation,and institutional mechanism.[Research conclusion]In the era of big data,human society is characterized by full-domain digitization,complex structuring,and intelligence of all things,which have triggered a paradigm shift in social science research.We need to actively respond to these new changes in order to better guide human social practice.
big datasocial sciencessocial changeresearch paradigmstrategy selection