Who Puts the "Social" in "Social Computing"?: Using A Neurodiversity Framing to Review Social Computing Research
Philip Baillargeon, Jina Yoon, Amy Zhang

TL;DR
This paper critically examines social computing research involving neurodivergent individuals, highlighting its medicalization and stereotypes, and advocates for a neurodiversity perspective to create more inclusive and natural social systems.
Contribution
It introduces a neurodiversity framing to analyze social computing research, revealing biases and proposing inclusive design approaches based on critical disability theory.
Findings
Research is largely medicalized and stereotypical.
Systems often restrict natural social expression.
Neurodiversity perspective promotes inclusive sociality.
Abstract
Human-Computer Interaction (HCI) and Computer Supported Collaborative Work (CSCW) have a longstanding tradition of interrogating the values that underlie systems in order to create novel and accessible experiences. In this work, we use a neurodiversity framing to examine how people with ways of thinking, speaking, and being that differ from normative assumptions are perceived by researchers seeking to study and design social computing systems for neurodivergent people. From a critical analysis of 84 publications systematically gathered across a decade of social computing research, we determine that research into social computing with neurodiverse participants is largely medicalized, adheres to historical stereotypes of neurodivergent children and their families, and is insensitive to the wide spectrum of neurodivergent people that are potential users of social technologies. When social…
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Taxonomy
TopicsOnline Learning and Analytics
