DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health assistance. However, these tools often utilize algorithms that can reinforce existing societal biases. This presents a serious issue as individuals seeking support may encounter discriminatory outcomes based on their background, gender, or other sensitive attributes. It is crucial to

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