Algorithmic recommendations demand clearer adult content oversight
Viral recommendation systems are not unbiased curators but often act as accelerants for content we assume adults can self-manage. Many people accept a comforting myth: that platforms automatically distinguish mature material and keep it contained. That misconception lets companies, regulators, and users defer responsibility while algorithmic engines optimize for engagement, not suitability. As a result, […]