Tootfinder

Cyberbully and Online Harassment: Issues Associated with Digital Wellbeing
Manasi Kulkarni (Department of Industrial & Systems Engineering, University of Michigan-Dearborn, MI, USA), Siddhi Durve (Department of Industrial & Systems Engineering, University of Michigan-Dearborn, MI, USA), Bochen Jia (Department of Industrial & Systems Engineering, University of Michigan-Dearborn, MI, USA)
https://arxiv.org/abs/2404.18989 https://arxiv.org/pdf/2404.18989
arXiv:2404.18989v1 Announce Type: new
Abstract: As digital technology becomes increasingly embedded in daily life, its impact on social interactions has become a critical area of study, particularly concerning cyberbullying. This meta-analysis investigates the dual role of technology in cyberbullying both as a catalyst that can exacerbate the issue and as a potential solution. Cyberbullying, characterized by the use of digital platforms to harass, threaten, or humiliate individuals, poses significant challenges to mental and social wellbeing. This research synthesizes empirical findings from diverse studies to evaluate how innovative technological interventions, such as content monitoring algorithms, anonymous reporting systems, and educational initiatives integrated within digital platforms, contribute to reducing the prevalence of cyberbullying. The study focuses on the effectiveness of these interventions in various settings, highlighting the need for adaptive strategies that respond to the dynamic digital landscape. By offering a comprehensive overview of the current state of cyberbullying and the efficacy of technology based solutions, this analysis provides valuable insights for stakeholders, including educators, policymakers, and technology developers, aiming to enhance digital wellbeing and create safer online environments. The findings underscore the importance of leveraging technology not only as a medium of communication but also as a strategic tool to combat the negative impacts of cyberbullying, thus promoting a more inclusive and respectful digital world.

Bistochastically private release of data streams with zero delay
Nicolas Ruiz
https://arxiv.org/abs/2402.16094 https://arxiv.org/pdf/…

Bistochastically private release of data streams with zero delay
Although the bulk of the research in privacy and statistical disclosure control is designed for static data, more and more data are often collected as continuous streams, and extensions of popular privacy tools and models have been proposed for this scenario. However, most of these proposals require buffers, where incoming individuals are momentarily stored, anonymized, and then released following a delay, thus considering a data stream as a succession of batches while it is by nature continuou…