EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health assistance. However, these systems often utilize algorithms that can propagate existing societal biases. This presents a serious concern as people seeking support may encounter discriminatory outcomes based on their background, sex, or other sensitive attributes. It is crucial to unpac

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