Analyzing recruiter-candidate communications in real time using natural language processing can uncover subtle biases, such as differing response times or language formality based on candidate demographics. Addressing these patterns promptly helps ensure equitable candidate experiences.

Analyzing recruiter-candidate communications in real time using natural language processing can uncover subtle biases, such as differing response times or language formality based on candidate demographics. Addressing these patterns promptly helps ensure equitable candidate experiences.

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