UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these platforms often rely algorithms that can perpetuate existing societal biases. This poses a serious concern as people seeking aid may encounter prejudiced outcomes based on their race, gender, or other sensitive attributes. It is crucial to analyze these biases a

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