EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health assistance. However, these systems often depend on algorithms that can propagate existing societal biases. This poses a serious concern as individuals seeking help may encounter unfair outcomes based on their ethnicity, identity, or other personal traits. It is essential to unpack the

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