Résultat de la recherche
Navigating the Shadows of Cyber Vigilantism: A Preliminary Analysis of Social Dynamics and Activities of Scambaiting
From 2017 to 2022, the Internet Crime Complaint Center docu- mented an increase of 266% complains for online scams. The complexity and constant evolution of these scams pose a challenge for the existing legal system, which appears ill-equipped to effectively combat them. A new movement emerged known as “scambaiting”, individuals who autonomously take on the responsibility of advocating for others and fighting against scammers. Leveraging online platforms, these individuals champion causes and educate the public, preventing further victimization. Scambaiting techniques range from entertaining activities, like wasting scammers’ time, to illegal ones, such as hacking. This form of cyber-vigilantism represents a novel and under-explored research, especially in term of human-infrastructure. Through the analysis of ten transcripts of discussions involving a sample of scambaiters, we aim to explore the social dynamics and activities of scambaiting; giving insights on collabo- ration, actors, and challenges within the scambaiting community. Additionally, we present suggestions for future research.
Care-Based Eco-Feedback Augmented with Generative AI: Fostering Pro-Environmental Behavior through Emotional Attachment
Lights out! With the escalating climate crisis, eco-feedback has gained prominence over the last decade. However, traditional ap- proaches could be underperforming as they often use data-driven strategies and assume that people only need additional information about their consumption to change behavior. A proposed path to overcome this issue is to design eco-feedback to foster emotional connections with users. However, not much is known about the effectiveness of such designs. In this paper, we propose a novel care- based eco-feedback system. Central to the system is a Tamagotchi- inspired digital character named Infi who gets its life force from the user’s energy savings. Additionally, we harness the latest ad- vancements in generative artificial intelligence to enhance emo- tional attachment through conversational interactions that users can have with Infi. The results of a randomized controlled experi- ment (N=420) convey the fact that this design increases emotional attachment, which in turn increases energy-saving behavior.