UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health support. However, these systems often utilize algorithms that can reinforce existing societal biases. This poses a serious issue as people seeking support may encounter discriminatory outcomes based on their background, sex, or other protected characteristics. It is crucial to unpac

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