UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health support. However, these systems often depend on algorithms that can perpetuate existing societal biases. This raises a serious issue as people seeking aid may encounter discriminatory outcomes based on their race, identity, or other sensitive attributes. It is vital to analyze these d

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