DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these platforms often utilize algorithms that can perpetuate existing societal biases. This presents a serious threat as users seeking aid may encounter unfair outcomes based on their ethnicity, gender, or other protected characteristics. It is crucial to unpack these

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