DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health resources. However, these platforms often rely algorithms that can perpetuate existing societal biases. This raises a serious threat as individuals seeking aid may encounter unfair outcomes based on their ethnicity, sex, or other personal traits. It is crucial to analyze these dispari

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