How do you handle Wikipedia content being scraped and republished with errors?

Wikipedia content gets scraped and republished constantly: aggregator sites, AI-generated content farms, encyclopedia-clone projects, and increasingly AI engine outputs that derive directly from the article. When the underlying Wikipedia article changes, those scraped copies do not update automatically – they hold the version they captured. So an inaccurate older version of a paragraph can persist across the web for months or years after the Wikipedia article itself has been corrected. The disciplined response is to fix Wikipedia first and let propagation refresh over time as the bigger aggregators recrawl and as AI training cycles run their next iteration. Trying to remediate the scraped copies individually rarely scales; targeting the few highest-amplification republishers can help where the stakes warrant it, but the upstream fix at Wikipedia is where the durable leverage lives.