UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these tools often rely algorithms that can reinforce existing societal biases. This raises a serious issue as individuals seeking help may encounter unfair outcomes based on their background, sex, or other sensitive attributes. It is essential to analyze these biases

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