DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health support. However, these systems often rely algorithms that can propagate existing societal biases. This raises a serious issue as people seeking support may encounter prejudiced outcomes based on their ethnicity, sex, or other protected characteristics. It is crucial to analyze these

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