EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health resources. However, these systems often rely algorithms that can propagate existing societal biases. This poses a serious issue as people seeking support may encounter unfair outcomes based on their background, identity, or other sensitive attributes. It is essential to unpack these i

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