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Exploring Gender Differences in Chronic Pain Discussions on Reddit

arXiv 2507.08241 ↗First posted 11 Jul 2025cs.CL cs.LGcited by 0

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Abstract (arXiv)

Pain is an inherent part of human existence, manifesting as both physical and emotional experiences, and can be categorized as either acute or chronic. Over the years, extensive research has been conducted to understand the causes of pain and explore potential treatments, with contributions from various scientific disciplines. However, earlier studies often overlooked the role of gender in pain experiences. In this study, we utilized Natural Language Processing (NLP) to analyze and gain deeper insights into individuals' pain experiences, with a particular focus on gender differences. We successfully classified posts into male and female corpora using the Hidden Attribute Model-Convolutional Neural Network (HAM-CNN), achieving an F1 score of 0.86 by aggregating posts based on usernames. Our analysis revealed linguistic differences between genders, with female posts tending to be more emotionally focused. Additionally, the study highlighted that conditions such as migraine and sinusitis are more prevalent among females and explored how pain medication affects individuals differently based on gender.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 42 references that are in the map. First posted on arXiv 11 Jul 2025.

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References · 1

  1. 2021Modeling chronic pain experiences from online reports using the Reddit Reports of Chronic Pain datasetcited by 1

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