+1! IMO you are talking about our user informedness principle: users aren't informed by notes that they never view (or view too late). Our paper tries to identify design choices that can prevent this. For example, changes to the curation aspect of the system could lead to faster note publication.
10.02.2026 00:34 β
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I take your point! We did think a lot about the boundary for our term. Our argument is that the term is useful because these systems uniquely elicit *context* to facilitate post interpretation, which is not the goal of other crowdsourced systems. Check out section 4 of the paper!
09.02.2026 18:27 β
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This framework can help researchers and platforms design more effective and equitable systems. Interested in CCS research? Come find me at @chi.acm.org in Barcelona! #CHI2026
09.02.2026 16:05 β
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Why does this matter? CCS design choices have real consequences for information quality and power dynamics on social media. We identify 3 normative principles for CCS evaluation: user informedness, distribution of power, and fairness.
09.02.2026 16:05 β
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(4) Presentation: How and where are notes displayed to users?
(5) Platform Treatment: How does the platform treat posts with notes?
(6) Transparency: Can the public observe and audit how the system works?
09.02.2026 16:05 β
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(1) Participation: Who can contribute and what can they do?
(2) Inputs: What form do contributions take?
(3) Curation: How are notes selected for display?
09.02.2026 16:05 β
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Through a review of CCS/Community Notes literature and analysis of real-world implementations (X, Meta, YouTube, TikTok), we identify 6 key design aspects that shape how these systems function and what impact they have.
09.02.2026 16:05 β
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"Community Notes" are reshaping how millions encounter information on social media--but what makes them work (or not)? We term these "Crowdsourced Context Systems" (CCS) and introduce a framework for designing and evaluating them in a new #CHI26 paper π§΅
09.02.2026 16:05 β
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Screenshot of a paper entry:
Fictional Failures and Real-World Lessons: Ethical Speculation Through Design Fiction on Emotional Support Conversational AI
Authors: Faye Kollig, Jessica Pater, Fayika Farhat Nova, Casey Fiesler
(There are tabs with "abstract" and "summary" and "summary" is selected.)
The ACM Digital Library, where a LOT of computing-related research is published (I'd say at least 75% of my own publications), is now not only providing (without consent of the authors and without opt-in by readers) AI-generated summaries of papers, but they appear as the *default* over abstracts.
16.12.2025 23:31 β
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How to quit Spotify
This Black Friday, here's a guide to finding the best Spotify alternative
Spotify is garbage on every count: Its treatment of artists, its ICE advertising, the CEO's investment in military AI, its leading role in the commodification and AI slopification of music, its terrible audio qualityβyou name it.
So I quit, and put together a complete guide to getting off Spotify:
03.12.2025 00:09 β
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I spoke with @kattenbarge.bsky.social for this @wired.com piece about my research into reddit moderators' experiences moderating AI-generated content. Moderators are working hard to keep Reddit "one of the most human spaces left on the internet," but it's a trying and often thankless task.
06.12.2025 17:35 β
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We develop a framework composed of three parts:
1. A theoretical model to conceptualize and define CCS.
2. A design space encompassing six key aspects of CCS.
3. Key normative implications of different CCS design and implementation choices.
22.09.2025 17:36 β
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New preprint! Crowdsourced Context Systems (CCS) like X's and Meta's Community Notes are popping up on various social media platforms. How can we better understand, critique, and design such systems?
22.09.2025 17:36 β
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AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content | Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
You will be notified whenever a record that you have chosen has been cited.
I'll be discussing two recent Reddit studies:
1. AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content (CHI24): a large-scale data collection and analysis of subreddit community rules governing the use of AI (check out the dataset!):
dl.acm.org/doi/full/10....
03.09.2025 14:17 β
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I'm at Seattle 4S! I'll be part of the "Risks of 'Social Model Collapse' in the Face of Scientific and Technological Advances" panel Friday morning, discussing online community governance of AI-generated content. Would love to meet others studying AI's impact on the info ecosystem!
#STS #4S
03.09.2025 14:12 β
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It was a pleasure to present our (@jennahgosciak.bsky.social @tungdnguyen.bsky.social @informor.bsky.social) large-scale study of Reddit community's AI rules in the AI Ethics and Concerns session at #CHI25! The paper is now available open access in the ACM library: dl.acm.org/doi/10.1145/....
30.04.2025 01:08 β
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An important topic of discussion in today's workshop on Sociotechnical AI Governance!
chi-staig.github.io
27.04.2025 01:03 β
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One line of the recent CMV moderator statement stuck out to me: "Our sub is a decidedly human space that rejects undisclosed AI as a core value." It's important to support community autonomy towards AI. I'm at #CHI25 presenting work on this topic and would love to talk to others doing similar work.
27.04.2025 01:00 β
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"There Has To Be a Lot That We're Missing": Moderating AI-Generated Content on Reddit
Generative AI has begun to alter how we work, learn, communicate, and participate in online communities. How might our online communities be changed by generative AI? To start addressing this question...
I also want to point to my recent paper (forthcoming at CSCW25) about moderating AI-generated content on Reddit. I spoke to CMV mods about their experiences with, and stances towards AI, in their communities. It's not a surprise that this use of AI is unwelcome!
arxiv.org/abs/2311.12702
27.04.2025 00:58 β
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Thankful for @sarahagilbert.bsky.social's thoughtful words on the ethics issues here: a must read for all researching online communities.
27.04.2025 00:52 β
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@informor.bsky.social @jennahgosciak.bsky.social @tungdnguyen.bsky.social
26.03.2025 17:30 β
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We look forward to presenting this work next month at CHI25 in Yokohama! Please spread the word about the dataset and let us know what cool things you use it for! fin/
26.03.2025 17:27 β
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GitHub - sTechLab/AIRules: Dataset accompanying AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content
Dataset accompanying AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content - sTechLab/AIRules
We've published our data to support future research. While our study focuses on *AI* governance, this dataset of online community rules and metadata (the largest of its kind!) can be used to answer a variety of other questions about online community self-governance: github.com/sTechLab/AIR... 4/
26.03.2025 17:26 β
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