Journal of Corpus Approaches to Chinese Social Science (JCACSS) applies cutting-edge corpus methods to the field of Chinese social sciences. The journal explores how to build upon existing quantitative and qualitative analysis methods in social scientific studies in the era of big data, and find new ways to analyze massive electronic texts. Its aims are to publish research outcomes that address the challenges brought by these issues, to provide an academic exchange platform for those with common interests, and to respond to the concerns posed to sociolinguists by the complex social problems of the global digital era.

The ESRC Centre for Corpus Approaches to Social Sciences (CASS) at Lancaster University is a pioneer in the application of corpus methods to various social science topics, such as the environment, crime, and health. Beginning with a workshop on corpus approaches to Chinese social sciences held in London in 2016, JCACSS was launched in 2021, under the guidance of the founding Director of CASS, Professor Tony McEnery, and with the support of colleagues both domestically and abroad, as well as the Global China Academy.

《语料库与中国社科研究》期刊肇始于2016年“语料库与中国社会科学”工作坊的契机而创刊的学术期刊。该刊受到了语料库专家托尼·麦克内里（Tony McEnery）教授的指导和国内外同行支持。借鉴了英国兰开斯特大学在经济与社会科学委员会的资助下成立的“语料库与社会科学中心”的创意，他们把语料库方法应用于社会科学的共同应对环境、犯罪和健康等问题并取得了突破性的进展。

本刊旨在把这种新锐的语料库方法应用于中国社会科学领域，探索在大数据时代如何社会科学已有的定量和定性分析的方法基础上，寻找新的方法来分析海量的电子文本的问题，对带来了挑战 相关研究并发布相关研究的成果，为有共同志趣者提供一个学术交流平台，应对全球进入数字时代错综复杂的社会问题对社会语言学家提出的挑战。