ArticleStudies in health technology and informatics2019
Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter.
Article in Studies in health technology and informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
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Who cites it
13 citing papers in PubMed.
- Examining contraception-related discourse on social media after the Dobbs v. Jackson Women's Health Organization Supreme Court decision: a textual analysis of user-generated content on X (formerly Twitter).Reproductive health · 2026Article
- In Their Own Words: Patient Narratives of Breast Cancer Surgery and Reconstruction.Aesthetic plastic surgery · 2025Article
- Exploring Public Emotions on Obesity During the COVID-19 Pandemic Using Sentiment Analysis and Topic Modeling: Cross-Sectional Study.Journal of medical Internet research · 2024Article
- Use of sentiment analysis for capturing hospitalized cancer patients' experience from free-text comments in the Persian language.BMC medical informatics and decision making · 2023Article
- Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data.JMIR cancer · 2023Article
- Twitterati on COVID-19 pandemic-environment linkage: Insights from mining one year of tweets.Environmental development · 2023Article
- Using Patient-Reported Health Data From Social Media to Identify Diverse Lupus Patients and Assess Their Symptom and Medication Expressions: A Feasibility Study.Arthritis care & research · 2023Article
- Biases in using social media data for public health surveillance: A scoping review.International journal of medical informatics · 2022Article
- Oncofertility and Fertility Preservation in Cancer Patients Across the Twitterverse.Frontiers in endocrinology · 2022Observational
- Using Patient-Generated Health Data From Twitter to Identify, Engage, and Recruit Cancer Survivors in Clinical Trials in Los Angeles County: Evaluation of a Feasibility Study.JMIR formative research · 2021Article
- Exploring Eating Disorder Topics on Twitter: Machine Learning Approach.JMIR medical informatics · 2020Article
- Who tweets what about personalised medicine? Promises and concerns from Twitter discussions in Denmark.Digital healthArticle
- A sentiment analysis and topic modeling of weibo discourse on public perceptions of breast cancer.Digital healthArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Among American women, the rate of breast cancer is only second to lung cancer. An estimated 12.4% women will develop breast cancer over the course of their lifetime. The widespread use of social media across the socio-economic spectrum offers unparalleled ways to facilitate information sharing, in particular as it pertains to health. Social media is also used by many healthcare stakeholders, ranging from government agencies to healthcare industry, to disseminate health information and to engage patients. The purpose of this study is to investigate people's perceptions and attitudes related to breast cancer, especially those that are related to physical activities, on Twitter. To achieve this, we first identified and collected tweets related to breast cancer; and then used topic modeling and sentiment analysis techniques to understand discussion themes and quantify Twitter users' perceptions and emotions with respect tobreast cancer to answer 5 research questions.
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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.