Observational studyJournal of medical Internet research2017
Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study.
Observational study in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
22 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Social Media Listening to Understand the Lived Experience of Individuals in Europe With Metastatic Breast Cancer: A Systematic Search and Content Analysis Study.Frontiers in oncology · 2022Pooled it
- Interpretations of Menstrual Blood Appearance and Diagnostic Potential Among Social Media Users: Cross-Sectional Mixed Methods Social Media Listening Study.Journal of medical Internet research · 2026Article
- The growing and urgent need for interventions to mitigate cancer-related stigma in sub-Saharan Africa.Global mental health (Cambridge, England) · 2026Review
- Sentiment analysis of cancer screening in Chinese social media: Qualitative studies based on machine learning.PloS one · 2025Article
- Patient Experiences and Insights on Chronic Ocular Pain: Social Media Listening Study.JMIR formative research · 2024Article
- Evaluation of the Needs and Experiences of Patients with Hypertriglyceridemia: Social Media Listening Infosurveillance Study.Journal of medical Internet research · 2023Article
- Determinants of Protective Healthcare Services Awareness among Female Syrian Refugees in Turkey.Healthcare (Basel, Switzerland) · 2022Article
- Midwest rural-urban disparities in use of patient online services for COVID-19.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022Article
- Understanding the Lived Experiences of Patients With Melanoma: Real-World Evidence Generated Through a European Social Media Listening Analysis.JMIR cancer · 2022Article
- Mediterranean Diet Social Network Impact along 11 Years in the Major US Media Outlets: Thematic and Quantitative Analysis Using Twitter.International journal of environmental research and public health · 2022Article
- Analyzing Psychotherapy on Twitter: An 11-Year Analysis of Tweets From Major U.S. Media Outlets.Frontiers in psychiatry · 2022Article
- Findings in Chinese Patients With Parkinson's Disease: A Content Analysis From the SML Study.Frontiers in psychiatry · 2021Article
- Social Media Accounts of Food and Beverage Brands Have Disproportionately More Black and Hispanic Followers than White Followers.Health equity · 2021Article
- Use of Social Media to Promote Cancer Screening and Early Diagnosis: Scoping Review.Journal of medical Internet research · 2020Article
- Understanding the Public's Emotions about Cancer: Analysis of Social Media Data.International journal of environmental research and public health · 2020Article
- Examining the Relationship between Youth-Targeted Food Marketing Expenditures and the Demographics of Social Media Followers.International journal of environmental research and public health · 2020Article
- Decreasing the Impact of Anxiety on Cancer Prevention through Online Intervention.International journal of environmental research and public health · 2020Article
- Sentiment Analysis in Health and Well-Being: Systematic Review.JMIR medical informatics · 2020Review
- Evaluating Patient Experiences in Dry Eye Disease Through Social Media Listening Research.Ophthalmology and therapy · 2019Article
- Factors Associated with the Quality of Online Information about Scapholunate Interosseous Ligament Insufficiency.Journal of hand and microsurgery · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundAlthough cancer screening reduces morbidity and mortality, millions of people worldwide remain unscreened. Social media provide a unique platform to understand public sentiment toward tools that are commonly used for cancer screening.
objectiveThe objective of our study was to examine public sentiment toward colonoscopy, mammography, and Pap smear and how this sentiment spreads by analyzing discourse on Twitter.
methodsIn this observational study, we classified 32,847 tweets (online postings on Twitter) related to colonoscopy, mammography, or Pap smears using a naive Bayes algorithm as containing positive, negative, or neutral sentiment. Additionally, we characterized the spread of sentiment on Twitter using an established model to study contagion.
resultsColonoscopy-related tweets were more likely to express negative than positive sentiment (negative to positive ratio 1.65, 95% CI 1.51-1.80, P<.001), in contrast to the more positive sentiment expressed regarding mammography (negative to positive ratio 0.43, 95% CI 0.39-0.47, P<.001). The proportions of negative versus positive tweets about Pap smear were not significantly different (negative to positive ratio 0.95, 95% CI 0.87-1.04, P=.18). Positive and negative tweets tended to share lexical features across screening modalities. Positive tweets expressed resonance with the benefits of early detection. Fear and pain were the principal lexical features seen in negative tweets. Negative sentiment for colonoscopy and mammography spread more than positive sentiment; no correlation with sentiment and spread was seen for Pap smear.
conclusionsAnalysis of social media data provides a unique, quantitative framework to better understand the public's perception of medical interventions that are commonly used for cancer screening. Given the growing use of social media, public health interventions to improve cancer screening should use the health perceptions of the population as expressed in social network postings about tests that are frequently used for cancer screening, as well as other people they may influence with such postings.
Indexed as
Identifiers
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.