EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health support. However, these tools often utilize algorithms that can perpetuate existing societal biases. This raises a serious issue as individuals seeking aid may encounter prejudiced outcomes based on their background, sex, or other sensitive attributes. It is essential to deconstruct

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