Traditional memetic theory posits that ideas spread like viruses, subject to selection pressures. The “ofilmywap” case underscores the added dimension of algorithmic amplification: platforms act as selective agents, accelerating meme replication when engagement metrics align with their optimization goals. This synergy creates feedback loops where a meme’s visibility begets further visibility, often detached from its original semantic content.