1 Introduction

Since its inception in 2009, computational social sciences have been used to automate the processing of massive amounts of data and delve into individual behavior and social operating patterns. This field has covered multiple social science disciplines and has become a hot topic of interdisciplinary research. As a new paradigm in humanities and social sciences, cultural omics studies human culture through large-scale text analysis, with the idea that word data accumulation can reveal cultural characteristics. The Google Book Corpus provides rich data resources to support cultural omics research. Domestic and foreign scholars have achieved certain results in the field of cultural omics, but domestic research is still in its infancy. Cultural omics and computational social sciences overlap in their research scope, both using big data methods to examine human society and behavior, but with different focuses and research methods. In recent years, there has been a trend of intersection and integration between the two. This article aims to explore the application of cultural omics in the field of social sciences, as well as the important role of linguistics in cultural omics and computational social sciences, providing insights for interdisciplinary research in linguistics.

The application of cultural omics in the field of social sciences

Cultural omics has a wide range of applications in the field of social sciences, involving multiple disciplines such as sociology, psychology, political science, economics, and management. In sociology, cultural omics reveals the evolution of social action, interpersonal interaction, and social structure by analyzing the migration patterns of historical figures, the relationship between public attention of social classes and economic development, and the dissemination of the concept of teamwork. In the field of psychology, cultural omics studies the changes in social collective cognition, emotions, and behavioral habits, such as analyzing language data to observe changes in values and the prevalence of cognitive distortions. In terms of political science, cultural omics explores the trends of political behavior and decision-making by analyzing the language characteristics of political leaders. In economics and management, cultural omics has outlined the development of disciplines, such as the history of the Austrian School of Economics and the evolution of marketing ideas. The application of cultural omics has promoted the digitalization process of social sciences, provided a diachronic dimension for computational social sciences, and facilitated the development of interdisciplinary research.

The Similarities between Linguistics, Cultural omics, and Computational Social Sciences

Explored the similarities between linguistics, cultural omics, and computational social sciences. Pattern recognition is the core of humanities research, and humans are born with the ability to recognize patterns. In the era of big data, statistical methods have become particularly important due to their evidential and verifiable nature. Cultural omics studies the evolution of social sciences through language, especially vocabulary, which is closely related to linguistics. Research needs to address the issue of polysemy and synonymy of words, and linguistic research findings can provide support for cultural omics and computational social sciences. In addition, research also needs to consider the representativeness of language categories, domains, and corpora. The methods of corpus linguistics share similarities with cultural omics and computational social sciences, such as frequency analysis of language data and the application of complex statistical methods. The Centre for Corpus Research in Social Sciences (CASS) at Lancaster University in the UK showcases the application of linguistics in social science research across multiple disciplinary fields. Linguistics is not only the foundation of cultural omics and computational social science research, but linguists can also participate in broader social science research by studying language data, exploring the laws of human society and behavior.

4 Conclusion

Big data has changed the research paradigm of humanities and social sciences, and cultural omics and computational social sciences have had a wide-ranging impact on research. The proliferation of digital text and discourse has made the 21st century an era of inventing new tools, with observed patterns far exceeding the scale of the past. This article reviews the application of cultural omics in computational social sciences, explores the relationship between linguistics, cultural omics, and computational social sciences, and emphasizes the fundamental role of linguistics and the possibility for linguists to participate in other social science research. The future research in humanities and social sciences will reflect interdisciplinary and data-driven approaches. The research results of linguistics have reference significance for other social science studies, and linguists should use language data to explore the development laws of humanities and social sciences, making contributions to the development of human society and the process of civilization.