EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health support. However, these systems often utilize algorithms that can reinforce existing societal biases. This poses a serious threat as individuals seeking help may encounter prejudiced outcomes based on their ethnicity, identity, or other personal traits. It is crucial to analyze these

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