EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health resources. However, these systems often utilize algorithms that can propagate existing societal biases. This presents a serious threat as individuals seeking aid may encounter prejudiced outcomes based on their background, identity, or other personal traits. It is crucial to analyze t

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