EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health assistance. However, these tools often utilize algorithms that can perpetuate existing societal biases. This poses a serious concern as users seeking support may encounter discriminatory outcomes based on their ethnicity, identity, or other protected characteristics. It is essential t

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