Modeling chronic pain experiences from online reports using the Reddit Reports of Chronic Pain dataset
Diogo A.P. Nunes, Joana Ferreira-Gomes, Fani Neto, David Martins de, Matos

TL;DR
This study introduces the Reddit Reports of Chronic Pain dataset and uses NLP to analyze and compare how different chronic pain conditions are expressed on social media, revealing shared and unique concerns across conditions.
Contribution
First to model and compare linguistic expressions of various chronic pain experiences from social media data using a novel dataset and NLP techniques.
Findings
86,537 Reddit submissions analyzed across 12 subreddits.
Shared concerns exist between different pain conditions, e.g., Sciatica and Back Pain.
Some concerns are specific to particular pathologies, e.g., Interstitial Cystitis.
Abstract
Objective: Reveal and quantify qualities of reported experiences of chronic pain on social media, from multiple pathological backgrounds, by means of the novel Reddit Reports of Chronic Pain (RRCP) dataset, using Natural Language Processing techniques. Materials and Methods: Define and validate the RRCP dataset for a set of subreddits related to chronic pain. Identify the main concerns discussed in each subreddit. Model each subreddit according to their main concerns. Compare subreddit models. Results: The RRCP dataset comprises 86,537 Reddit submissions from 12 subreddits related to chronic pain (each related to one pathological background). Each RRCP subreddit has various main concerns. Some of these concerns are shared between multiple subreddits (e.g., the subreddit Sciatica semantically entails the subreddit backpain in their various concerns, but not the other way around), whilst…
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Taxonomy
TopicsMental Health via Writing · Social Media in Health Education · Health Literacy and Information Accessibility
