EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health support. However, these tools often depend on algorithms that can perpetuate existing societal biases. This poses a serious concern as individuals seeking support may encounter discriminatory outcomes based on their race, sex, or other personal traits. It is crucial to unpack these b

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