Completewwwconny14comteenmodelconny14yoset1to17 2extra172 Top
Findings reveal a triad of tensions: (i) algorithmic amplification disproportionately favors younger sub‑segments (ages 13‑15), intensifying exposure risk; (ii) the “extra‑172” premium tier blurs consent boundaries by bundling data‑intensive analytics with targeted advertising; and (iii) existing self‑regulatory policies lack enforceable safeguards for minors. Drawing on feminist media studies, labor economics, and child‑rights law, we propose a multi‑layered governance framework that integrates age‑aware algorithmic auditing, transparent data‑use disclosures, and a co‑design participatory model involving teen creators, guardians, and platform operators.








