UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health resources. However, these tools often utilize algorithms that can perpetuate existing societal biases. This raises a serious issue as users seeking support may encounter unfair outcomes based on their race, sex, or other protected characteristics. It is essential to deconstruct these

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