A large body of research has attempted to ensure that algorithmic systems adhere to notions
of fairness and transparency. Increasingly, researchers have highlighted that mitigating …

Social media effectively connects businesses with diverse audiences. However, research
related to targeted advertising and social media is rarely done beyond Western contexts …

Data minimization is a legal and privacy-by-design principle mandating that online services
collect only data that is necessary for pre-specified purposes. While the principle has thus far …

The widespread use of Generative Artificial Intelligence (GAI) among teenagers has led to
significant misuse and safety concerns. To identify risks and understand parental controls …

Predicting users' privacy concerns is challenging due to privacy's subjective and complex
nature. Previous research demonstrated that generic attitudes, such as those captured by …

Regulations require video games to provide transparency regarding loot box odds to keep
players informed, leading many games to disclose probabilities in various ways; yet, the …

WhatsApp is the most popular social messaging platform, and modified versions (or “mods”)
of the official WhatsApp are increasingly popular. Mods advertise additional features and …

Social media platforms are an effective channel for businesses to reach potential audiences
through targeted advertising. As the user base of these platforms expands and diversifies …

Generative AI (GAI) systems are increasingly integrated into children's digital experiences,
raising concerns about safety, privacy, and appropriate interactions. My research explores …

While personalized content in the digital world is necessary for a better browsing
experience, users knowingly or unknowingly share a lot of data with third-party advertising …