Against the backdrop of calls for greater platform transparency, this exploratory article
investigates Meta's 'Why Am I Seeing This Ad'(WAIST) feature, which is positioned as a …

While people's perceptions of targeted ads have been studied extensively from a Western
perspective (eg, North America, Europe), we know little about users' perceptions in the …

Tech companies that rely on ads for business argue that users have control over their data
via ad privacy settings. However, these ad settings are often hidden. This work aims to …

This project illuminates what data youth believe online advertisers and social media
companies collect about them. We situate these findings within the context of current …

Many people are concerned about how their personal data is used for online behavioral
advertising (OBA). Ad targeting explanations have been proposed as a way to reduce this …

Social media feeds are deeply personal spaces that reflect individual values and
preferences. However, top-down, platform-wide content algorithms can reduce users' sense …

Internet companies routinely follow users around the web, building profiles for ad targeting
based on inferred attributes. Prior work has shown that these practices, generally, are …

Enabled by ubiquitous dataveillance practices, corporations try to construct accurate
algorithmic profiles of their users for various purposes, such as personalized advertising. In …

Knowledge can't be disentangled from people. As AI knowledge systems mine vast volumes
of work-related data, the knowledge that's being extracted and surfaced is intrinsically linked …

To counteract the ads and third-party tracking ubiquitous on the web, users turn to blocking
tools—ad-blocking and tracking-protection browser extensions and built-in features …