EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health assistance. However, these tools often utilize algorithms that can perpetuate existing societal biases. This presents a serious issue as users seeking help may encounter prejudiced outcomes based on their ethnicity, sex, or other protected characteristics. It is crucial to analyze t

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