Unveiling Gender Dynamics for Mental Health Posts in Social Media and Generative Artificial Intelligence
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2025-01-07
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6557
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We investigate the level of empathy mental health posts receive on social media and generative artificial intelligence (GenAI). Specifically, we examine gender effects to determine if posts authored by self-identified men, women, or unknown (no self-identified gender discloser) receive varying levels of empathy across different technical platforms. Using a sample of mental health posts from Reddit, we find that self-identified women receive more empathy relative to men across all platforms. We further find that Inflection Pi, a GenAI tool specifically designed to be empathetic, provides the most empathy, but it still favors self-identified women over men. Self-identified men attempting to receive empathy for their prolonged emotional distress are disadvantaged relative to self-identified women.
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Bright and Dark Side of Social Media in the Marginalized Contexts, empathy, gender effects, generative artificial intelligence, mental health, social media
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10
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Proceedings of the 58th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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