DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to deliver mental health support. However, these tools often rely algorithms that can propagate existing societal biases. This presents a serious issue as users seeking support may encounter prejudiced outcomes based on their ethnicity, gender, or other protected characteristics. It is crucial to deconstruc

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