UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health support. However, these systems often depend on algorithms that can reinforce existing societal biases. This raises a serious issue as users seeking support may encounter discriminatory outcomes based on their race, gender, or other protected characteristics. It is vital to unpack the

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