EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health support. However, these systems often rely algorithms that can perpetuate 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 these

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