ArticleInternational journal of environmental research and public health2021
Analysis of Tweets Containing Information Related to Rheumatological Diseases on Twitter.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Social media platforms for ethical post-publication promotion.Clinical rheumatology · 2026Article
- Global Influence of Cannabis Legalization on Social Media Discourse: Mixed Methods Study.JMIR infodemiology · 2025Article
- Understanding public perceptions and discussions on diseases involving chronic pain through social media: cross-sectional infodemiology study.BMC musculoskeletal disorders · 2024Article
- Pediatric Cancer Communication on Twitter: Natural Language Processing and Qualitative Content Analysis.JMIR cancer · 2024Article
- Analysis of the hikikomori phenomenon - an international infodemiology study of Twitter data in Portuguese.BMC public health · 2024Article
- Analyzing public discourse of dementia from Spanish and English tweets: a comparative analysis with other neurological disorders.Frontiers in neurology · 2024Article
- Exploring Perceptions About Paracetamol, Tramadol, and Codeine on Twitter Using Machine Learning: Quantitative and Qualitative Observational Study.Journal of medical Internet research · 2023Observational
- Using Twitter Data Analysis to Understand the Perceptions, Beliefs, and Attitudes about Pharmacotherapy Used in Rheumatology: An Observational Study.Healthcare (Basel, Switzerland) · 2023Article
- Addressing the spread of health-related misinformation on social networks: an opinion article.Frontiers in medicine · 2023Review
- Review
- Motivational Influences Affecting Middle-Aged and Elderly Users' Participation Intention in Health-Related Social Media.International journal of environmental research and public health · 2022Article
- Fake news: Why do we believe it?Joint bone spine · 2022Article
- Patients with rheumatic diseases are ready to use social media in clinical practice; what about rheumatologists? A cross-sectional survey.Rheumatology international · 2022Article
- Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study.Journal of personalized medicine · 2022Article
- Assessment of Antipsychotic Medications on Social Media: Machine Learning Study.Frontiers in psychiatry · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundTweets often indicate the interests of Twitter users. Data from Twitter could be used to better understand the interest in and perceptions of a variety of diseases and medical conditions, including rheumatological diseases which have increased in prevalence over the past several decades. The aim of this study was to perform a content analysis of tweets referring to rheumatological diseases.
methodsThe content of each tweet was rated as medical (including a reference to diagnosis, treatment, or other aspects of the disease) or non-medical (such as requesting help). The type of user and the suitability of the medical content (appropriate content or, on the contrary, fake content if it was medically inappropriate according to the current medical knowledge) were also evaluated. The number of retweets and likes generated were also investigated.
resultsWe analyzed a total of 1514 tweets: 1093 classified as medical and 421 as non-medical. The diseases with more tweets were the most prevalent. Within the medical tweets, the content of these varied according to the disease (some more focused on diagnosis and others on treatment). The fake content came from unidentified users and mostly referred to the treatment of diseases.
conclusionsAccording to our results, the analysis of content posted on Twitter in regard to rheumatological diseases may be useful for investigating the public's prevailing areas of interest, concerns and opinions. Thus, it could facilitate communication between health care professionals and patients, and ultimately improve the doctor-patient relationship. Due to the interest shown in medical issues it seems desirable to have healthcare institutions and healthcare workers involved in Twitter.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.