EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

Examining Algorithmic Bias in Online Mental Health Resources

The digital landscape is rapidly evolving to provide mental health resources. However, these platforms often depend on algorithms that can propagate existing societal biases. This poses a serious issue as individuals seeking support may encounter unfair outcomes based on their race, gender, or other personal traits. It is vital to deconstruct these

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