EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health resources. However, these tools often rely algorithms that can propagate existing societal biases. This raises a serious issue as individuals seeking aid may encounter discriminatory outcomes based on their background, identity, or other personal traits. It is crucial to analyze these

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