Cargando…

Using Twitter to Measure Public Discussion of Diseases: A Case Study

BACKGROUND: Twitter is increasingly used to estimate disease prevalence, but such measurements can be biased, due to both biased sampling and inherent ambiguity of natural language. OBJECTIVE: We characterized the extent of these biases and how they vary with disease. METHODS: We correlated self-rep...

Descripción completa

Detalles Bibliográficos
Autores principales:	Weeg, Christopher, Schwartz, H Andrew, Hill, Shawndra, Merchant, Raina M, Arango, Catalina, Ungar, Lyle
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2015
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4763717/ https://www.ncbi.nlm.nih.gov/pubmed/26925459 http://dx.doi.org/10.2196/publichealth.3953

Ejemplares similares

Twitter Sentiment Predicts Affordable Care Act Marketplace Enrollment
por: Wong, Charlene A, et al.
Publicado: (2015)

Public Priorities and Concerns Regarding COVID-19 in an Online Discussion Forum: Longitudinal Topic Modeling
por: Stokes, Daniel C., et al.
Publicado: (2020)

Content Analysis of Metaphors About Hypertension and Diabetes on Twitter: Exploratory Mixed-Methods Study
por: Sinnenberg, Lauren, et al.
Publicado: (2018)

Studying expressions of loneliness in individuals using twitter: an observational study
por: Guntuku, Sharath Chandra, et al.
Publicado: (2019)

Tracking Mental Health and Symptom Mentions on Twitter During COVID-19
por: Guntuku, Sharath Chandra, et al.
Publicado: (2020)

Evaluating the predictability of medical conditions from social media posts
por: Merchant, Raina M., et al.
Publicado: (2019)

Natural Supplements for H1N1 Influenza: Retrospective Observational Infodemiology Study of Information and Search Activity on the Internet
por: Hill, Shawndra, et al.
Publicado: (2011)

Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study
por: Smith, Robert J, et al.
Publicado: (2017)

Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events
por: Miller, Michele, et al.
Publicado: (2021)

Understanding Public Perceptions and Discussions on Opioids Through Twitter: Cross-Sectional Infodemiology Study
por: Carabot, Federico, et al.
Publicado: (2023)

Perceptions and Discussions of Snus on Twitter: Observational Study
por: Chen, Jiarui, et al.
Publicado: (2022)

GMO discussion on Twitter
por: Erokhin, Dmitry, et al.
Publicado: (2023)

Using Social Media to Track Geographic Variability in Language About Diabetes: Infodemiology Analysis
por: Griffis, Heather, et al.
Publicado: (2020)

Topics of Nicotine-Related Discussions on Twitter: Infoveillance Study
por: Allem, Jon-Patrick, et al.
Publicado: (2021)

Ice Flavor–Related Discussions on Twitter: Content Analysis
por: Galimov, Artur, et al.
Publicado: (2022)

Social Listening: A Content Analysis of E-Cigarette Discussions on Twitter
por: Cole-Lewis, Heather, et al.
Publicado: (2015)

Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods
por: Jaidka, Kokil, et al.
Publicado: (2020)

Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach
por: Zhu, Jane M, et al.
Publicado: (2020)

A system for de-identifying medical message board text
por: Benton, Adrian, et al.
Publicado: (2011)

Brain Tumor Discussions on Twitter (#BTSM): Social Network Analysis
por: Feliciano, Josemari T, et al.
Publicado: (2020)

Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis
por: Tufts, Christopher, et al.
Publicado: (2018)

Can Twitter be used to predict county excessive alcohol consumption rates?
por: Curtis, Brenda, et al.
Publicado: (2018)

Discussions of miscarriage and preterm births on Twitter
por: Cesare, Nina, et al.
Publicado: (2020)

Categorizing IQOS-Related Twitter Discussions
por: Barker, Joshua O., et al.
Publicado: (2021)

Analyzing Discussions Around Rural Health on Twitter During the COVID-19 Pandemic: Social Network Analysis of Twitter Data
por: Ahmed, Wasim, et al.
Publicado: (2023)

Discussions of Asperger Syndrome on Social Media: Content and Sentiment Analysis on Twitter
por: Gabarron, Elia, et al.
Publicado: (2022)

Public Response to Obamacare on Twitter
por: Davis, Matthew A, et al.
Publicado: (2017)

Public Concern About Monitoring Twitter Users and Their Conversations to Recruit for Clinical Trials: Survey Study
por: Reuter, Katja, et al.
Publicado: (2019)

Partisan Differences in Twitter Language Among US Legislators During the COVID-19 Pandemic: Cross-sectional Study
por: Guntuku, Sharath Chandra, et al.
Publicado: (2021)

Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach
por: Xue, Jia, et al.
Publicado: (2020)

COVID-19 Vaccine–Related Discussion on Twitter: Topic Modeling and Sentiment Analysis
por: Lyu, Joanne Chen, et al.
Publicado: (2021)

Halal or Haram? The COVID-19 Vaccine Discussion Among Twitter users in Malaysia
por: Mohd Jenol, Nur Ayuni, et al.
Publicado: (2023)

Understanding the Public Discussion About the Centers for Disease Control and Prevention During the COVID-19 Pandemic Using Twitter Data: Text Mining Analysis Study
por: Lyu, Joanne Chen, et al.
Publicado: (2021)

COVID-19 Conspiracy Theories Discussion on Twitter
por: Erokhin, Dmitry, et al.
Publicado: (2022)

Examining the Phenomenon of Quarter-Life Crisis Through Artificial Intelligence and the Language of Twitter
por: Agarwal, Shantenu, et al.
Publicado: (2020)

Reddit language indicates changes associated with diet, physical activity, substance use, and smoking during COVID-19
por: Wanchoo, Karan, et al.
Publicado: (2023)

Twitter and Public Health (Part 1): How Individual Public Health Professionals Use Twitter for Professional Development
por: Hart, Mark, et al.
Publicado: (2017)

Associations of Topics of Discussion on Twitter With Survey Measures of Attitudes, Knowledge, and Behaviors Related to Zika: Probabilistic Study in the United States
por: Farhadloo, Mohsen, et al.
Publicado: (2018)

Too Far to Care? Measuring Public Attention and Fear for Ebola Using Twitter
por: van Lent, Liza GG, et al.
Publicado: (2017)

Characterizing Twitter Discussions About HPV Vaccines Using Topic Modeling and Community Detection
por: Surian, Didi, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_t28ic1dsjc15m1o8cl3r89cvv6