DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health resources. However, these platforms often depend on algorithms that can propagate existing societal biases. This raises a serious threat as users seeking support may encounter prejudiced outcomes based on their ethnicity, sex, or other protected characteristics. It is essential to de

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