EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these systems often depend on algorithms that can perpetuate existing societal biases. This poses a serious issue as individuals seeking help may encounter prejudiced outcomes based on their background, sex, or other protected characteristics. It is crucial to unpack

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