UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health assistance. However, these tools often depend on algorithms that can perpetuate existing societal biases. This poses a serious threat as users seeking support may encounter prejudiced outcomes based on their ethnicity, gender, or other protected characteristics. It is vital to deconstr

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