UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health resources. However, these systems often depend on algorithms that can propagate existing societal biases. This presents a serious concern as people seeking help may encounter unfair outcomes based on their ethnicity, sex, or other sensitive attributes. It is essential to analyze these

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