EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health support. However, these tools often utilize algorithms that can reinforce existing societal biases. This raises a serious threat as people seeking aid may encounter discriminatory outcomes based on their background, identity, or other sensitive attributes. It is essential to deconst

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