EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these systems often rely algorithms that can perpetuate existing societal biases. This raises a serious issue as individuals seeking aid may encounter prejudiced outcomes based on their ethnicity, identity, w3information or other personal traits. It is vital to unpack

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