UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health resources. However, these systems often rely algorithms that can perpetuate existing societal biases. This poses a serious issue as users seeking support may encounter unfair outcomes based on their ethnicity, identity, or other sensitive attributes. It is crucial to deconstruct the

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