UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health assistance. However, these tools often rely algorithms that can perpetuate existing societal biases. This raises a serious concern as people seeking support may encounter prejudiced outcomes based on their background, identity, or other sensitive attributes. It is vital to analyze t

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