UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health assistance. However, these tools often depend on algorithms that can propagate existing societal biases. This poses a serious concern as users seeking support may encounter prejudiced outcomes based on their background, gender, or other personal traits. It is essential to unpack thes

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