DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health support. However, these systems often utilize algorithms that can perpetuate existing societal biases. This presents a serious concern as users seeking help may encounter discriminatory outcomes based on their ethnicity, sex, or other sensitive attributes. It is crucial to analyze the

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