Accurate real-time risk identification is vital to protecting social media users from online
harm, which has driven research towards advancements in machine learning (ML). While …

HCI research has been at the forefront of designing interventions for protecting teens online;
yet, how can we test and evaluate these solutions without endangering the youth we aim to …

Within the realm of digital spaces, much of the nudging research has focused on general
populations, which may not be applicable to nudges for adolescents, as minors are often …

As part of a Youth Advisory Board of teens (YAB), a longitudinal and interactive program to
engage with teens for adolescent online safety research, we used an Asynchronous Remote …

The debate on whether social media has a net positive or negative effect on youth is
ongoing. Therefore, we conducted a thematic analysis on 2,061 posts made by 1,038 …

Adolescent online safety research has largely focused on designing interventions for teens,
with few evaluations that provide effective online safety solutions. It is challenging to …

In this position paper, we discuss the potential for leveraging LLMs as interactive research
tools to facilitate collaboration between human coders and AI to effectively annotate online …

While risk is highly subjective, especially when it comes to the private online interactions of
youth, third-party annotations are often performed to identify risky content. Therefore, we …

In this position paper, we discuss the paradigm shift that has emerged in the literature,
suggesting to move away from restrictive and authoritarian parental mediation approaches …

Computational approaches to detect the online risks that the youth encounter have
presented promising potentials to protect them online. However, a major identified trend …