EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health support. However, these tools often utilize algorithms that can perpetuate existing societal biases. This presents a serious concern as individuals seeking help may encounter prejudiced outcomes based on their race, gender, or other sensitive attributes. It is essential to unpack the

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