EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health support. However, these systems often utilize algorithms that can perpetuate existing societal biases. This presents a serious issue as individuals seeking support may encounter unfair outcomes based on their background, sex, website or other personal traits. It is vital to analyze t

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