DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health resources. However, these systems often utilize algorithms that can reinforce existing societal biases. This poses a serious threat as users seeking aid may encounter prejudiced outcomes based on their ethnicity, identity, or other protected characteristics. It is crucial to analyze

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