Smart, useful, scary, creepy: perceptions of online behavioral advertising

By Blase Ur, Pedro Giovanni Leon, Lorrie Faith Cranor, Richard Shay, Yang Wang. Symposium On Usable Privacy and Security, 2012

422 citations recorded by the source corpus.

Subfields: Clinical Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/1c7d2dc22607e31176b8417bbd5d8742042f7a85

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

In Sociology and Political Science

Citations in the corpus

Online Behavioral Advertising: A Literature Review and Research Agenda (2017, positive): “More-over, people have little insight into the extent to which their online behavior is tracked (Ur et al. 2012).”
FPDetective: dusting the web for fingerprinters (2013, background): “These are matters closely related to privacy concerns expressed by users about uninformed monitoring of web usage, constraints on informational self-determination, and discrimination [21].”
Nudges for Privacy and Security (2017, background): “Ur et al. [2012b] showed that people make privacy judgments regarding online tracking based on a company’s name, but not necessarily based on its privacy practices or the practice of tracking itself.”
SoK: Privacy on Mobile Devices – It’s Complicated (2016, background): “For example, a recent study on behavioral advertising showed that users did not understand how such advertising worked and found the information that the advertisers had about them to be “scary” and “creepy” [2].”
Alexa, Are You Listening? (2018, background): “” While non-users and users alike generally found targeted ads “creepy,” many also found them useful [59] and preferable to irrelevant ads.”
Understanding Privacy Online: Development of a Social Contract Approach to Privacy (2016, background): “Respondents do not understand notices to the point where users are misled by icons and notices (Ur et al. 2012).”
A Qualitative Exploration of Perceptions of Algorithmic Fairness (2018, background): “…studies have found that some participants are not aware of algorithmic curation in the Facebook News Feed [31,69] or the gathering of online behavioral data and its use for inferencing [86], or underestimate the prevalence and scale of data gathering and its use in practical applications [85,86].”
Communicating Algorithmic Process in Online Behavioral Advertising (2018, background): “Sometimes, users believe that advertising algorithms collect more data than they actually do, causing privacy concerns [53].”
: Privacy on Mobile Devices – It ’ s Complicated (2016, background): “For example, a recent study on behavioral advertising showed that users did not understand how such advertising worked and found the information that the advertisers had about them to be “scary” and “creepy” [2].”
No Encore for Encore? Ethical questions for web-based censorship measurement (2015, background): “First, current online tracking practices are deeply at odds with users’ expectations [58, 59, 60].”