EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health assistance. However, these tools often depend on algorithms that can perpetuate existing societal biases. This poses a serious issue as people seeking support may encounter prejudiced outcomes based on their background, identity, or other personal traits. It is vital to unpack these

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