The DOI matches its Crossref record; 145 of the 149 references it cites were found in a registry or an index.
Yes: Affirmative Consent as a Theoretical Framework for Understanding and Imagining Social Platforms
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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Gender Trouble: Feminism and the Subversion of Identity
McIntosh, M., & Butler, J. (1991) · Feminist Review · doi:10.2307/1395391 · Cited by 29,314
Wallace, A. F. C., & Garfinkel, H. (1968) · American Sociological Review · doi:10.2307/2092245 · Cited by 12,413
I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience
Marwick, A. E., & boyd, D. (2011) · New Media & Society · doi:10.1177/1461444810365313 · Cited by 4,612
The Paradox of Choice: Why More Is Less
Schwartz, B. N. (2004) · Works - Scholarship, Research, & Creative Expression (Swarthmore College) · Cited by 2,512
The spreading of misinformation online
Del Vicario, M., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., Stanley, H. E., & Quattrociocchi, W. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517441113 · Cited by 2,407
(2020) · doi:10.7551/mitpress/12255.001.0001 · Cited by 1,706
The constitution of society: Outline of the theory of structuration
Palm, R. I. (1986) · Political Geography Quarterly · doi:10.1016/0260-9827(86)90040-6 · Cited by 1,590
Predicting tie strength with social media
Gilbert, E., & Karahalios, K. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1518701.1518736 · Cited by 1,382
Comer, D. E. (1988) · UCLA - Biblioteca de Ciencias y Tecnologia Felix Morales Bueno · Cited by 1,245
Bardzell, S. (2010) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753521 · Cited by 1,139
Flagged first, then by citations
4 of the 149 references couldn’t be matched to a known paper.
Research works printed but not linked: 15
- Our Data Bodies. 2016. Our Data Bodies. Retrieved March 15, 2020 from https://www.odbproject.org/
- University of Guelph Central Student Association. [n.d.]. No Means No. Retrieved March 15, 2020 from https://csaonline.ca/campaigns/no-means-no
- Maeve Duggan. 2017. Online harassment 2017. (2017). https://ncvc.dspacedirect.org/handle/20.500.11990/10
- Jaclyn Friedman and Jessica Valenti. 2019. Yes means yes!: Visions of female sexual power and a world without rape. Seal Press.
- Rosa Gavey. 2019. Affirmative Consent to Sex: Is It Enough. New Zealand Women’s Law Journal 3 (2019), 35.
- David S Hall. 1998. Consent for sexual behavior in a college student population. Electronic Journal of Human Sexuality 1, 10 (1998), 1–16.
- Kate Lockwood Harris. 2009. The communicative criterion: Establishing a new standard for non-violent sexual encounters by reframing consent. thirdspace: a journal of feminist theory & culture 9, 1 (2009).
- Salvador Hernandez. 2020. A Zoom Meeting For Women Of Color Was Hijacked By Trolls Shouting The N-Word. Retrieved May 25, 2020 from https://www.buzzfeednews.com/article/salvadorhernandez/zoom-coronavirus-racist-zoombombing
- Noah Hilgert. 2016. The Burden of Consent: Due Process and the Emerging Adoption of the Affirmative Consent Standard in Sexual Assault Laws. Ariz. L. Rev. 58(2016), 867.
- Wendy Adele Humphrey. 2016. Let’s Talk about Sex: Legislating and Educating on the Affirmative Consent Standard. USFL Rev. 50(2016), 35. https://ssrn.com/abstract=2780124
- Cyber Civil Rights Initiative. 2012. Cyber Civil Rights Initiative. Retrieved March 15, 2020 from https://www.cybercivilrights.org/
- Kathleen Ann Livingston. 2015. The queer art & rhetoric of consent: Theories, practices, pedagogies. Michigan State University.
- David Malki. 2014. The Terrible Sea Lion. Retrieved May 20, 2020 from http://wondermark.com/1k62/
- Aleecia M McDonald and Lorrie Faith Cranor. 2008. The cost of reading privacy policies. Isjlp 4(2008), 543.
- Jake New. 2014. The “yes means yes” world. Inside Higher Ed (2014).
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Nigri, L., & Kang, H. (2024) · ACM Symposium on User Interface Software and Technology (UIST) · doi:10.1145/3672539.3686332
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Theron, S. (2026) · PhilPapers (PhilPapers Foundation) · doi:10.13140/rg.2.2.34361.53605
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Metadata
- 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
- Venue
- Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2021-05-06
- Pages
- 1-18
- 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
- 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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