UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health resources. However, these systems often depend on algorithms that can reinforce existing societal biases. This poses a serious concern as website individuals seeking aid may encounter prejudiced outcomes based on their ethnicity, gender, or other sensitive attributes. It is essential

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