EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health support. However, these tools often depend on algorithms that can propagate existing societal biases. This raises a serious concern as individuals seeking aid may encounter unfair outcomes based on their background, sex, or other protected characteristics. It is essential to unpack t

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