EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health support. However, these tools often depend on algorithms that can reinforce existing societal biases. This presents a serious issue as individuals seeking support may encounter prejudiced outcomes based on their ethnicity, gender, or other protected characteristics. It is vital to a

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