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.
@article{arxiv.2507.08241,
title = {Exploring Gender Differences in Chronic Pain Discussions on Reddit},
author = {Ancita Maria Andrade and Tanvi Banerjee and Ramakrishna Mundugar},
journal= {arXiv preprint arXiv:2507.08241},
year = {2025}
}
Comments
This is an extended version of the short paper accepted at ASONAM 2025