Nick Feamster

schoolUniversity of Chicagobar_chart#2153 Global Rank

Total Papers

HCI Rank

#2153

Research Areas

Years Active

Recent Publications

Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference

Large Language Models (LLMs) such as ChatGPT can infer personal attributes from seemingly innocuous text, raising privacy risks beyond memorized data leakage. While prior work has demonstrated these risks, little is known about how users estimate and respond. We conducted a survey with 240 U.S. participants who judged…

CHI '265th+ AuthorGenerative AI (Text, Image, Music, Video) +3

Governance of AI-Generated Content: A Case Study on Social Media Platforms

Online platforms are seeing increasing amounts of AI-generated content—text and other forms of media that are made or co-created with generative AI. This trend suggests platforms may need to establish governance frameworks, including policies and enforcement strategies for how users create, post, share, and engage wit…

CHI '255th+ AuthorPrivacy by Design & User Control +1

Dark Patterns in the Opt-Out Process and Compliance with the California Consumer Privacy Act (CCPA)

To protect consumer privacy, the California Consumer Privacy Act (CCPA) requires businesses to provide consumers with a straightforward way to opt out of the sale and sharing of their personal information. However, the control that businesses enjoy over the opt-out process allows them to impose hurdles on consumers ai…

CHI '245th+ AuthorSocial Platform Design & User Behavior +2

"Community Guidelines Make this the Best Party on the Internet": An In-Depth Study of Online Platforms' Content Moderation Policies

Moderating user-generated content on online platforms is crucial for balancing user safety and freedom of speech. Particularly in the United States, platforms are not subject to legal constraints prescribing permissible content. Each platform has thus developed bespoke content moderation policies, but there is little…

CHI '244th AuthorPrivacy by Design & User Control +1

Measuring Compliance with the California Consumer Privacy Act Over Space and Time

The widespread sharing of consumers' personal information with third parties raises significant privacy concerns. The California Consumer Privacy Act (CCPA) mandates that online businesses offer consumers the option to opt out of the sale and sharing of personal information. Our study automatical…

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