EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

Examining Algorithmic Bias in Online Mental Health Resources

The online landscape is rapidly evolving to deliver mental health support. However, these systems often rely algorithms that can perpetuate existing societal biases. This poses a serious threat as users seeking support may encounter prejudiced outcomes based on their background, gender, or other personal traits. It is crucial to unpack these dispar

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