EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to deliver mental health support. However, these tools often rely algorithms that can perpetuate existing societal biases. This poses a serious threat as users seeking aid may encounter discriminatory outcomes based on their race, identity, or other personal traits. It is vital to deconstruct these inequali

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