🤖 AI Summary
This study investigates how digital platform design features are exploited to perpetuate long-term online scams—particularly romance scams and “pig-butchering” fraud—and amplify their persistence and harm. Drawing on in-depth interviews with 25 Chinese victims and thematic analysis, it identifies, for the first time from human-computer interaction and socio-technical systems perspectives, four high-risk design mechanisms: (1) inadequate identity verification enabling perpetrator impersonation; (2) algorithmic recommendation systems that increase victim-perpetrator contact; (3) private messaging interfaces fostering social isolation; and (4) integrated payment systems facilitating illicit fund transfers. Moving beyond conventional user-centric anti-fraud paradigms, the study proposes “anti-scam design” as a novel intervention strategy targeting platform architectures themselves. It contributes empirically grounded insights and actionable design principles to inform platform safety governance and responsible technology development.
📝 Abstract
Longer-running scams, such as romance fraud and "pig-butchering" scams, exploit not only victims' emotions but also the design of digital platforms. Scammers commonly leverage features such as professional-looking profile verification, algorithmic recommendations that reinforce contact, integrated payment systems, and private chat affordances to gradually establish trust and dependency with victims. Prior work in HCI and criminology has examined online scams through the lenses of detection mechanisms, threat modeling, and user-level vulnerabilities. However, less attention has been paid to how platform design itself enables longer-running scams. To address this gap, we conducted in-depth interviews with 25 longer-running scam victims in China. Our findings show how scammers strategically use platform affordances to stage credibility, orchestrate intimacy, and sustain coercion with victims. By analyzing scams as socio-technical projects, we highlight how platform design can be exploited in longer-running scams, and point to redesigning future platforms to better protect users.