EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health assistance. However, these platforms often depend on algorithms that can perpetuate existing societal biases. This poses a serious threat as individuals seeking support may encounter discriminatory outcomes based on their ethnicity, identity, or other sensitive attributes. It is vita

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