Dissecting Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health assistance. However, these tools often depend on algorithms that can propagate existing societal biases. This presents a serious threat as users seeking support may encounter discriminatory outcomes based on their ethnicity, gender, or other personal traits. It is essential to deconstr