EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health resources. However, these tools often depend on algorithms that can reinforce existing societal biases. This poses a serious concern as people seeking support may encounter unfair outcomes based on their background, gender, or other protected characteristics. It is vital to unpack thes

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