DISSECTING 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 raises a serious concern as people seeking support may encounter discriminatory outcomes based on their background, sex, or other personal traits. It is essential to analyze the

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