EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health assistance. However, these platforms often utilize algorithms that can propagate existing societal biases. This raises a serious threat as people seeking aid may encounter prejudiced outcomes based on their background, gender, or other personal traits. It is crucial to analyze these

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