27 citations · 48 across the 8 of their papers we have counts for
8 papers
Beyond the Legal Lens: A Sociotechnical Taxonomy of Lived Privacy Incidents and Harms
Kirsten Chapman, Garrett Smith, Kaitlyn Klabacka +8
To understand how privacy incidents lead to harms, HCI researchers have historically leveraged legal frameworks. However, these frameworks expect acute, tangible harms and thus may…
What News Recommendation Research Did (But Mostly Didn't) Teach Us About Building A News Recommender
Karl Higley, Robin Burke, Michael D. Ekstrand +1
One of the goals of recommender systems research is to provide insights and methods that can be used by practitioners to build real-world systems that deliver high-quality recommen…
Dagstuhl Perspectives Workshop 24352 -- Conversational Agents: A Framework for Evaluation (CAFE): Manifesto
Christine Bauer, Li Chen, Nicola Ferro +19
During the workshop, we deeply discussed what CONversational Information ACcess (CONIAC) is and its unique features, proposing a world model abstracting it, and defined the Convers…
Personalizing Privacy Protection With Individuals' Regulatory Focus: Would You Preserve or Enhance Your Information Privacy?
Reza Ghaiumy Anaraky, Yao Li, Hichang Cho +4
In this study, we explore the effectiveness of persuasive messages endorsing the adoption of a privacy protection technology (IoT Inspector) tailored to individuals' regulatory foc…
Older and younger adults are influenced differently by dark pattern designs
Reza Ghaiumy Anaraky, Byron Lowens, Yao Li +7
Considering that prior research has found older users undergo a different privacy decision-making process compared to younger adults, more research is needed to inform the behavior…
Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans
A K M Nuhil Mehdy, Michael D. Ekstrand, Bart P. Knijnenburg +1
To account for privacy perceptions and preferences in user models and develop personalized privacy systems, we need to understand how users make privacy decisions in various contex…
PPM: A Privacy Prediction Model for Online Social Networks
Cailing Dong, Hongxia Jin, Bart P. Knijnenburg
Online Social Networks (OSNs) have come to play an increasingly important role in our social lives, and their inherent privacy problems have become a major concern for users. Can w…
Differential Data Analysis for Recommender Systems
Richard Chow, Hongxia Jin, Bart Knijnenburg +1
We present techniques to characterize which data is important to a recommender system and which is not. Important data is data that contributes most to the accuracy of the recommen…