UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health support. However, these tools often rely algorithms that can propagate existing societal biases. This raises a serious issue as individuals seeking help may encounter prejudiced outcomes based on their background, sex, or other protected characteristics. It is vital to analyze these

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