DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health support. However, these tools often rely algorithms that can perpetuate existing societal biases. This raises a serious threat as users seeking help may encounter prejudiced outcomes based on their ethnicity, gender, or other sensitive attributes. It is essential to analyze these di

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