DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health assistance. However, these tools often utilize algorithms that can propagate existing societal biases. This poses a serious threat as users seeking aid may encounter prejudiced outcomes based on their race, gender, or other personal traits. It is crucial to analyze these disparities an

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