In an unprecedented move, RLM delves into the mystifying realm of YouTube's content moderation system in their latest endeavor, 'RLM Investigates YouTube's Algorithm Mysteries'. This unexpected exploration highlights issues with age restrictions and how content creators, including RLM, are affected by AI-driven restrictions that impact video visibility.
The discussion was triggered by Jack Packard’s inquiry regarding AI's role in viewing declines. Although RLM typically avoids airing grievances related to algorithm changes, they now address it due to the significant influence it has on viewer accessibility.
RLM's 'Best of the Worst' series exemplifies the unpredictability of YouTube's age restrictions. Despite compliance with guidelines, episodes such as their latest ‘Junka’ video have been flagged, disrupting typical viewership patterns.
The team details how videos initially pass muster only to be later age-restricted, affecting ad-friendly status and reach. YouTube's opaque review process, with its reliance on automated systems, leaves creators guessing what content parameters may trigger restrictions.
The broader issue of YouTube's restricted mode, sometimes activated without users’ consent, further limits video discoverability. As detailed by RLM, this mode blocks numerous uploads, some despite containing no explicit content.
RLM critiques the AI's current execution, arguing that while intended to safeguard user experience, it instead introduces inconsistencies that bewilder content creators and audiences alike.