We Have Big Data, But Do We Need Big Theory? Review-Based Remarks on an Emerging Problem in the Social Sciences

Pub Date : 2023-07-18 DOI:10.1177/00483931231188825
Hermann Astleitner
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Abstract

Big data represents a significant challenge for the social sciences. From a philosophy-of-science perspective, it is important to reflect on related theories and processes for developing them. In this paper, we start by examining different views on the role of theories in big data-related social research. Then, we try to show how big data is related to standards for evaluating theories. We also outline how big data affects theory- and data-based research approaches and the process of theory building. Discussions include a summary of lines of reasoning, limitations, and a proposal for future developmental steps.
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我们有了大数据,还需要大理论吗?基于评论的社会科学新问题评论
大数据是社会科学面临的重大挑战。从科学哲学的角度来看,反思相关理论和发展过程是很重要的。在本文中,我们首先考察了关于理论在大数据相关社会研究中的作用的不同观点。然后,我们试图展示大数据与评估理论的标准之间的关系。我们还概述了大数据如何影响基于理论和数据的研究方法以及理论构建过程。讨论包括对推理思路、局限性的总结,以及对未来发展步骤的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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