DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health support. However, these platforms often rely algorithms that can perpetuate existing societal biases. This presents a serious threat as individuals seeking support may encounter discriminatory outcomes based on their race, identity, or other personal traits. It is vital to deconstruc

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