Fight Fire With Fire: How Does AI‐Powered Technology Empower the Elderly Anti‐AI Fraud Through a Socio‐Technical Systems Theory Lens?
Sima, Herbert ; Chen, Jie ; Wei, Junlong ; Chen, Wei ; Thaichon, Park (2026) — Journal of Consumer Behaviour
DOI:
10.1002/cb.70106
Type:
Journal Article
AI-Generated Synopsis
This piece examines Fight Fire With Fire: How Does AI‐Powered Technology Empower the Elderly Anti‐AI Fraud Through a Socio‐Technical Sys within the broader context of online fraud and mediated communication. It outlines common patterns documented in the literature, describes how offenders cultivate trust and shift interactions onto controlled channels, and notes the role of staged identities, persuasive scripts, and escalating commitment. The discussion situates these elements within themes frequently reported by victims, including emotional grooming, urgency cues, and isolation from outside advice. The work also highlights typical areas of inquiry for researchers and practitioners: factors associated with victim susceptibility, the influence of platform affordances, and touchpoints where prevention or disruption is most feasible. Attention is given to reporting barriers, financial harms, and downstream impacts on wellbeing. Implications emphasize the value of cross-sector collaboration, clearer platform policy enforcement, and targeted awareness strategies informed by real case dynamics. Presented in Journal of Consumer Behaviour, the piece contributes to ongoing efforts to translate observed scam mechanics into actionable guidance for detection, education, and support.