Filters often struggle with variations in language use and naming practices across regions. Crowdsourced data from diverse linguistic and cultural groups helps the filter learn these variations, improving identification accuracy globally.

Filters often struggle with variations in language use and naming practices across regions. Crowdsourced data from diverse linguistic and cultural groups helps the filter learn these variations, improving identification accuracy globally.

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