UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health resources. However, these systems often rely algorithms that can propagate existing societal biases. This presents a serious concern as users seeking help may encounter discriminatory outcomes based on their race, gender, or other personal traits. It is vital to analyze these dispar

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