Recommendation systems influence trust in adult media platforms
A widespread belief holds that recommendation systems merely reflect users’ past choices, acting as neutral mirrors rather than active shapers of preference. We reject that passive framing: as researchers and engaged users, we see these algorithms as dynamic agents that curate, amplify, and sometimes distort what adults encounter on media platforms. Together, we navigate feeds…
