Cited by 119Ethics and Social Impacts of AIInnovative Human-Technology InteractionPrivacy, Security, and Data Protection

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Yes: Affirmative Consent as a Theoretical Framework for Understanding and Imagining Social Platforms

Im, Jane, Dimond, Jill, Berton, Melody, Lee, Una, Mustelier, Katherine, Ackerman, Mark S., Gilbert, Eric·2021·Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

DOI 10.1145/3411764.3445778

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Abstract

Affirmative consent is the idea that someone must ask for, and earn, enthusiastic approval before interacting with someone else. For decades, feminist activists and scholars have used affirmative consent to theorize and prevent sexual assault. In this paper, we ask: Can affirmative consent help to theorize online interaction? Drawing from feminist, legal, and HCI literature, we introduce the feminist theory of affirmative consent and use it to analyze social computing systems. We present affirmative consent’s five core concepts: it is voluntary, informed, revertible, specific, and unburdensome. Using these principles, this paper argues that affirmative consent is both an explanatory and generative theoretical framework. First, affirmative consent is a theoretical abstraction for explaining various problematic phenomena in social platforms—including mass online harassment, revenge porn, and problems with content feeds. Finally, we argue that affirmative consent is a generative theoretical foundation from which to imagine new design ideas for consentful socio-technical systems.

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Authors: Im, J., Dimond, J., Berton, M., Lee, U., Mustelier, K., Ackerman, M. S., & Gilbert, E.
Affiliations: University of Michigan (US)
Sassafras Tech Collective, United States
And Also too, Canada
University of Michigan, United States
ORCID: Im, Jane
Dimond, Jill
Ackerman, Mark S.
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Publisher: ACM
Published: 2021-05-06
Pages: 1-18
DOI: 10.1145/3411764.3445778
OpenAlex: W3163524335
Cited by: 119
References: 149
Citations by year: 2026: 31 · 2025: 24 · 2024: 23 · 2023: 23 · 2022: 17 · 2021: 1
FWCI: 6.02
Type: conference paper
Language: en
Open access: closed
Licence: www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations: CHI Conference on Human Factors in Computing Systems (publishedVersion)
Funders: National Science Foundation (IIS-1553376)
Topics: Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Keywords: affirmative consent, online consent, social platforms, feminist theory, sexual assault prevention, online harassment, revenge porn, socio-technical design, generative theory

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Yes: Affirmative Consent as a Theoretical Framework for Understanding and Imagining Social Platforms

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