EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health assistance. However, these systems often rely algorithms that can reinforce existing societal biases. This raises a serious issue as people seeking support may encounter unfair outcomes based on their ethnicity, identity, or other protected characteristics. It is vital to unpack these

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