EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health assistance. However, these systems often utilize algorithms that can propagate existing societal biases. This poses a serious concern as people seeking support may encounter prejudiced outcomes based on their ethnicity, gender, or other personal traits. It is crucial to unpack these

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