UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health assistance. However, these platforms often depend on algorithms that can reinforce existing societal biases. This raises a serious threat as people seeking help may encounter prejudiced outcomes based on their ethnicity, gender, or other protected characteristics. It is crucial to anal

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