EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health support. However, these tools often rely algorithms that can reinforce existing societal biases. This raises a serious threat as individuals seeking aid may encounter discriminatory outcomes based on their race, identity, or other protected characteristics. It is essential to unpack

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