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ABS1033 (2025)
RHEUMATOLOGY ON REDDIT: A DESCRIPTIVE AND SENTIMENT ANALYSIS
Keywords: Patient Reported Outcome Measures, Artificial Intelligence
A. Madrid García1, B. Merino2
1Hospital Clínico San Carlos, Madrid, Spain
2Universidad Politécnica de Madrid, Escuela Técnica Superior de Ingenieros de Telecomunicación, Madrid, Spain

Background: Over the past decade, social media data have gained special interest across various sectors, specially in medicine where these data are being utilized for a variety of purposes, including surveillance, pharmacovigilance, or patient recruitment. Among the social platforms, Reddit is one of the most widely used worldwide. The way in which this social network organises information, in specific subreddits, makes it possible to estimate the popularity and relevance of topics, including medical ones. Although there have been multiple studies in rheumatology using these social media, none have detailed the different rheumatology-specific communities that exist within Reddit.


Objectives: To identify rheumatology-related subreddits; to describe their characteristics and to conduct sentiment analyses to better understand users’ interactions.


Methods: The Reddit search engine, along with a list of 21 commonly used rheumatology terms, was used to identify the candidate subreddits. The subreddit’s name, creation date, number of subscribers, public status, size, and activity since May 2023 to May 2024 information was collected. Exclusion criteria were applied to narrow down the results. Only subreddits with over 1000 subscribers, active, with strong affinity and recoverable through Pushshift.io were extracted. Different metrics and statistics were computed to characterise the subreddits identified in the previous step (e.g., number of users who participate in each subreddit, number of messages, thread length, word count per submissions, subreddits activities, most commented threads per subreddit and so on). Continuous variables were summarised using the median and the first and third quartiles (Q1–Q3). Moreover, a pre-trained model fine-tuned for sentiment analysis was used to classify posts as negative, neutral, or positive.


Results: Of 83 potential subreddits, 20 met the inclusion criteria. The oldest subreddit was r/Fibromyalgia. The number of subscribers ranged from 2k (r/Behcets) to 70k (r/Fibromyalgia) and the ratio comments/submissions was higher in r/ankylosingspondylitis (12.36), Table 1. Almost exponential growth is seen for all communities since 2016-2017. r/Fibromyalgia has the highest number of messages per day.Peak activity occurs between 16:00 and 23:00 and the majority of activity is concentrated in the second half of the year. The patient’s age is a common concern across subreddits. Another majornconcern is the COVID vaccine and its potential impact on patients with RMDs (i.e., r/mctd,r/costochondritis, r/Sjogrens, r/Uveitis). Some of the most commented posts on r/gout are AskMe Anything sessions, where professionals respond to patient’s questions. This highlights patient’s interest in exchanging information with healthcare professionals via social media. The highest percentage of negative comments pertains to mechanical conditions such as costochondritis or back pain, as well as to fibromyalgia, Figure 1.


Conclusion: Reddit provides a valuable platform for studying patient concerns, needs, and perceptions about their RMDs as evidenced by the number of subscribers, the diversity of communities, and the extent of their activity and size. This research contributes to understand how rheumatic and musculoskeletal communities utilize Reddit to discuss health-related topics, potentially informing better patient support and engagement strategies in digital spaces.


REFERENCES: NIL.

Main characteristics of the selected subreddits. Data as of May, 15 th 2024

Subreddit Creation date Subscribers (15 May 2024) Total comments N messages per day [Median Q1-Q3] Titles of submissions with most comments per subreddit
r/ankylosingspondylitis 2012-03-01 21.5k 224679 51 [10-112] What was your age at diagnosis?
r/Thritis 2011-02-11 17.4k 72425 13 [5-28] How old is everyone here?
r/backpain 2009-12-06 39.5k 179400 28 [6-96] The backpain is getting worse.
r/Sciatica 2012-10-17 32.8k 249274 32 [6-121] Your Sciatica and Back Pain Experiences Megathread
r/Behcets 2015-06-07 2.0k 10538 5 [2-11] Ethnicity and Behcets? Would everyone be willing to list theirs? And the big question...
r/costochondritis 2015-07-16 16.1k 116945 50 [7-81] Covid vaccine & Costochondritis
r/Fibromyalgia 2009-04-18 70k 801911 105 [38-301] How old are you all?
r/gout 2011-10-07 24.5k 191472 33 [10-78] How Old Are We At The Moment. I Want To See Age Variation With Gout?
r/Autoimmune 2016-03-03 14.9k 47538 14 [4-32] Multiple AutoImmune Disorders?
r/autoimmunity Private Private 43815 11.5 [3-26] What’s an interesting autoimmune disease to cover in my presentation?
r/mctd 2014-05-31 2.2k 6530 4 [2-9] Vaccine?
r/Osteoarthritis 2015-12-10 5.6k 8977 3 [1-9] Looking for advice on cortisone injections and whether I should have them done by my knee surgeon?
r/PsoriaticArthritis 2014-01-14 13.3k 117789 46 [15-86] Who here is under the age of 40? Sometimes having PA makes me feel so alone...
r/Raynauds 2015-06-06 9.4k 32081 11 [4-23] Age Poll - First Signs
r/rheumatoid 2012-03-18 25.8k 217998 45 [15-91] How old is everyone on this sub?
r/rheumatoidarthritis 2018-05-29 13.2k 65664 34 [15-55] When were you diagnosed?
r/Scleroderma 2013-07-08 3.4k 13911 6 [2-11] I need help please
r/Sjogrens 2012-10-16 10.5k 80948 18 [3-48] COVID-19 vaccination x Sjogren’s experience thread
r/lupus 2010-06-09 32.2k 310267 37 [10-129] Undiagnosed Seeking Diagnosis: Is this Lupus?
r/Uveitis 2015-05-21 2.3k 13670 6 [3-12] Covid Vaccine effect on Uveitis

Sentiment in RMDs Reddit communities sorted by negative percentage


Acknowledgements: NIL.


Disclosure of Interests: None declared.

© The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.


DOI: annrheumdis-2025-eular.B416
Keywords: Patient Reported Outcome Measures, Artificial Intelligence
Citation: , volume 84, supplement 1, year 2025, page 1538
Session: Across diseases (Publication Only)