UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health support. However, these platforms often utilize algorithms that can perpetuate existing societal biases. This presents a serious issue as individuals seeking support may encounter prejudiced outcomes based on their race, identity, or other sensitive attributes. It is vital to analyze

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