UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to deliver mental health resources. However, these platforms often depend on algorithms that can propagate existing societal biases. This poses a serious threat as individuals seeking help may encounter unfair outcomes based on their background, sex, or other personal traits. It is crucial to analyze these

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