User interfaces for privacy agents

By Lorrie Faith Cranor, Praveen Guduru, Manjula Arjula. TCHI, 2006

301 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/e332b39aded23736511674a12a96ad9c8f3b104e

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In Artificial Intelligence

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Citations in the corpus

Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning (2018, background): “Users: Polisis can automatically populate several of the previously-proposed short notices for privacy policies, such as nutrition tables and privacy icons [3, 18, 31, 32].”
Online Privacy and the Disclosure of Cookie Use: Effects on Consumer Trust and Anticipated Patronage (2008, background): “For example, prior research has reported not only that online consumers are often confused about the advantages and disadvantages of cookies but also that most cannot properly identify what a cookie is (Ha et al. 2006; Hoofnagle 2005). Indeed, Jensen, Potts, and Jensen (2005) report that though a va”
Nudges for Privacy and Security (2017, background): “Privacy Bird was built with the idea of warning users whenever a website engages in practices that do not align with users’ expectations [Cranor et al. 2006].”
The Effect of Online Privacy Information on Purchasing Behavior: An Experimental Study (2011, background): “These reports present privacy information that is "of greatest concern to users" in a simplified format (Cranor et al. 2006).”
Privacy in the Digital Age: A Review of Information Privacy Research in Information Systems (2011, background): “…tools and technologies based on the existing P3P framework, a privacy protection protocol that standardizes privacy policy information to allow users to gain a better understanding of how websites’ privacy policies match their own privacy preferences (Cranor et al. 2006; Reagle and Cranor 1999).”
A Design Space for Effective Privacy Notices (2015, background): “…developed design space can help designers, developers, and researchers identify notice and choice requirements and develop a comprehensive notice concept for their system that addresses the needs of different audiences and considers the system’s limitations and opportunities for providing notice.”
How Short Is Too Short? Implications of Length and Framing on the Effectiveness of Privacy Notices (2016, background): “In our studies, we isolate speciﬁc aspects to reduce confounding factors in order to gain deeper insights into notice effectiveness.”