Crowdsourcing data allows input from a wide range of individuals with different backgrounds and experiences. This diversity helps identify and correct biases inherent in filters that might otherwise overlook certain women-led organizations due to cultural or regional differences. By incorporating varied viewpoints, the filter becomes more equitable and reliable.
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