EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these tools often rely algorithms that can perpetuate existing societal biases. This raises a serious threat as people seeking aid may encounter discriminatory outcomes based on their background, identity, or other personal traits. It is essential to deconstruct these

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