UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

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

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