EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health resources. However, these tools often rely algorithms that can perpetuate existing societal biases. This raises a serious threat as individuals seeking help may encounter prejudiced outcomes based on their background, gender, or other sensitive attributes. It is vital to unpack these

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