DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to deliver mental health assistance. However, these systems often utilize algorithms that can propagate existing societal biases. This presents a serious concern as people seeking help may encounter unfair outcomes based on their background, gender, or other personal traits. It is crucial to analyze these i

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