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

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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.

Original languageEnglish
Pages (from-to)69-92
Number of pages24
JournalPhilosophy of the Social Sciences
Volume54
Issue number1
DOIs
Publication statusPublished - 2023

Bibliographical note

Publisher Copyright:
© The Author(s) 2023.

Keywords

  • artificial intelligence
  • big data
  • philosophy of science
  • social research
  • theory development

Fields of Science and Technology Classification 2012

  • 503 Educational Sciences

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