EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these platforms often rely algorithms that can perpetuate existing societal biases. This raises a serious threat as people seeking support may encounter prejudiced outcomes based on their ethnicity, sex, or other protected characteristics. It is vital to analyze these

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