UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these systems often rely algorithms that can propagate existing societal biases. This poses a serious threat as users seeking aid may encounter discriminatory outcomes based on their race, gender, or other protected characteristics. It is essential to analyze these di

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