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Digital Humanism aspires to align technological innovation with human values, yet its psychological underpinnings remain predominantly individualistic, positioning the human as a “flawed” agent within socio-technical systems. This paper proposes a shift towards group-level social psychological dynamics as a foundation for designing socially responsive socio-technical systems. Building on the Social Identity Approach (SIA), which integrates the Social Identity Theory and Self-Categorisation Theory, we argue that human behaviour in complex socio-technical systems is shaped by dynamic group memberships and context-dependent identity processes. We demonstrate how digital traces, such as language, sensor data, and interactional patterns can serve as behavioural proxies for identifying and analysing such identity processes. Through interdisciplinary research, we present applications in system design, safety management, privacy protection, and ethical evaluation to show how identity-aware computational models and frameworks operationalise SIA to enhance inclusivity, resilience, and ethical responsiveness in socio-technical systems. Embedding social identity dynamics into the design of emerging socio-technical systems offers a transformative potential for advancing the normative goals of Digital Humanism.

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Why Digital Humanism Needs a Social Psychology–and How You Can Use Digital Data to Study Social Identities in Socio-Technical Systems

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Mark Levine,
  • Anastasia Kordoni

摘要

Digital Humanism aspires to align technological innovation with human values, yet its psychological underpinnings remain predominantly individualistic, positioning the human as a “flawed” agent within socio-technical systems. This paper proposes a shift towards group-level social psychological dynamics as a foundation for designing socially responsive socio-technical systems. Building on the Social Identity Approach (SIA), which integrates the Social Identity Theory and Self-Categorisation Theory, we argue that human behaviour in complex socio-technical systems is shaped by dynamic group memberships and context-dependent identity processes. We demonstrate how digital traces, such as language, sensor data, and interactional patterns can serve as behavioural proxies for identifying and analysing such identity processes. Through interdisciplinary research, we present applications in system design, safety management, privacy protection, and ethical evaluation to show how identity-aware computational models and frameworks operationalise SIA to enhance inclusivity, resilience, and ethical responsiveness in socio-technical systems. Embedding social identity dynamics into the design of emerging socio-technical systems offers a transformative potential for advancing the normative goals of Digital Humanism.