Perspectives on How Sociology Can Advance Theorizing about Human-Chatbot Interaction and Developing Chatbots for Social Good
Celeste Campos-Castillo, Xuan Kang, Linnea I. Laestadius

TL;DR
This paper explores how sociology can deepen understanding of human-chatbot interactions and guide the development of socially beneficial chatbots through four sociological theories, addressing social structures, safety, and equity.
Contribution
It introduces four sociological theories to enhance understanding and development of chatbots for social good, filling a gap in sociological research on this topic.
Findings
Sociological theories provide new insights into chatbot use and social impacts.
Applying these theories can improve chatbot safety and promote social equity.
Theories help design interventions that consider cultural and social contexts.
Abstract
Recently, research into chatbots (also known as conversational agents, AI agents, voice assistants), which are computer applications using artificial intelligence to mimic human-like conversation, has grown sharply. Despite this growth, sociology lags other disciplines (including computer science, medicine, psychology, and communication) in publishing about chatbots. We suggest sociology can advance understanding of human-chatbot interaction and offer four sociological theories to enhance extant work in this field. The first two theories (resource substitution theory, power-dependence theory) add new insights to existing models of the drivers of chatbot use, which overlook sociological concerns about how social structure (e.g., systemic discrimination, the uneven distribution of resources within networks) inclines individuals to use chatbots, including problematic levels of emotional…
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