Synthetic Sociality: How Generative Models Privatize the Social Fabric
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Abstract (arXiv)
We put forth a critical theoretical framework for analyzing generative models both descriptively and normatively. Our thesis is that generative models automate the production not only of intellectual labor or intelligence, but of a broader set of human social capacities we name "social doing." We do this by historicizing the commodification of sociality in the digital economy, leading to the availability of social data as the precondition for generative models. We elaborate our definition of "social doing" by drawing a distinction between "use" and "exchange" sociality and further differentiate between the ways that generative models either substitute for or mediate existing social relations and processes. We then turn to existing empirical research on how people use generative model-based products and the effects that their use has upon them. In this, we introduce the concept of Synthetic Sociality, a social reality in part fabricated by Silicon Valley's privately owned and undemocratically governed generative models. Lastly, we offer a normative analysis based on our findings and framework, and discuss future design opportunities.
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References · 8
- 2023Art and the science of generative AI: A deeper divecited by 93
- 2025Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversationscited by 93
- 2025Deepfakes on Demand: the rise of accessible non-consensual deepfake image generatorscited by 15
- 2024How Spammers and Scammers Leverage AI-Generated Images on Facebook for Audience Growthcited by 11
- 2024The Dearth of the Author in AI-Supported Writingcited by 10
- 2024Exploring the Use of Abusive Generative AI Models on Civitaicited by 10
- 2024Crafting Synthetic Realities: Examining Visual Realism and Misinformation Potential of Photorealistic AI-Generated Imagescited by 6
- 2025Prevalence and Impacts of Image-Based Sexual Abuse Victimization: A Multinational Studycited by 2
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