DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

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

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