EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health support. However, these tools often utilize algorithms that can reinforce existing societal biases. This presents a serious concern as individuals seeking aid may encounter discriminatory outcomes based on their background, sex, or other personal traits. It is crucial to deconstruct

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