DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health assistance. However, these platforms often depend on algorithms that can propagate existing societal biases. This poses a serious threat as individuals seeking support may encounter discriminatory outcomes based on their race, sex, or other protected characteristics. It is essential

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