DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health support. However, these systems often depend on algorithms that can reinforce existing societal biases. This raises a serious concern as individuals seeking aid may encounter unfair outcomes based on their ethnicity, sex, or other protected characteristics. It is crucial to analyze th

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