EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health resources. However, these systems often utilize algorithms that can propagate existing societal biases. This raises a serious issue as people seeking support may encounter discriminatory outcomes based on their ethnicity, identity, or other protected characteristics. It is crucial t

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