This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1349) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041)

Published on in Vol 20, No 10 (2018): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10043, first published .
Using Twitter to Examine Web-Based Patient Experience Sentiments in the United States: Longitudinal Study

Using Twitter to Examine Web-Based Patient Experience Sentiments in the United States: Longitudinal Study

Using Twitter to Examine Web-Based Patient Experience Sentiments in the United States: Longitudinal Study

Authors of this article:

Kara C Sewalk1 Author Orcid Image ;   Gaurav Tuli1 Author Orcid Image ;   Yulin Hswen1, 2 Author Orcid Image ;   John S Brownstein1, 3, 4 Author Orcid Image ;   Jared B Hawkins1, 3 Author Orcid Image
Article Authors Cited by (25) Tweetations (51) Metrics

Journals

  1. Raghupathi V, Ren J, Raghupathi W. Studying Public Perception about Vaccination: A Sentiment Analysis of Tweets. International Journal of Environmental Research and Public Health 2020;17(10):3464 View
  2. Cheng T, Liu L, Woo B. Analyzing Twitter as a Platform for Alzheimer-Related Dementia Awareness: Thematic Analyses of Tweets. JMIR Aging 2018;1(2):e11542 View
  3. Meeking K. Patients’ experiences of radiotherapy: Insights from Twitter. Radiography 2020;26(3):e146 View
  4. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439 View
  5. Hswen Y, Zhang A, Sewalk K, Tuli G, Brownstein J, Hawkins J. Investigation of Geographic and Macrolevel Variations in LGBTQ Patient Experiences: Longitudinal Social Media Analysis. Journal of Medical Internet Research 2020;22(7):e17087 View
  6. Ahne A, Orchard F, Tannier X, Perchoux C, Balkau B, Pagoto S, Harding J, Czernichow T, Fagherazzi G. Insulin pricing and other major diabetes-related concerns in the USA: a study of 46 407 tweets between 2017 and 2019. BMJ Open Diabetes Research & Care 2020;8(1):e001190 View
  7. Pang R, Wei Z, Liu W, Chen Z, Cheng X, Zhang H, Li G, Liu L. Influence of the pandemic dissemination of COVID‐19 on facial rejuvenation: A survey of Twitter. Journal of Cosmetic Dermatology 2020;19(11):2778 View
  8. Hswen Y, Hawkins J, Sewalk K, Tuli G, Williams D, Viswanath K, Subramanian S, Brownstein J. Racial and Ethnic Disparities in Patient Experiences in the United States: 4-Year Content Analysis of Twitter. Journal of Medical Internet Research 2020;22(8):e17048 View
  9. Bour C, Schmitz S, Ahne A, Perchoux C, Dessenne C, Fagherazzi G. Scoping review protocol on the use of social media for health research purposes. BMJ Open 2021;11(2):e040671 View
  10. Liu X, He D, Wu D. Breaking Social Media Bubbles for Information Globalization: A Cross-Cultural and Cross-Language User-Centered Sense-Making Approach. Data and Information Management 2020;4(4):297 View
  11. Alex B, Whyte D, Duma D, Owen R, Fairley E. Classifying patient and professional voice in social media health posts. BMC Medical Informatics and Decision Making 2021;21(1) View
  12. López-Rodríguez G, Castillo-Eslava F. A Comparative Study of Military Communication on Instagram: A Research Note. Armed Forces & Society 2024;50(3):810 View
  13. Isch C, ten Thij M, Todd P, Bollen J. Quantifying changes in societal optimism from online sentiment. Behavior Research Methods 2022;55(1):176 View
  14. Bartmess M, Talbot C, O’Dwyer S, Lopez R, Rose K, Anderson J. Using Twitter to understand perspectives and experiences of dementia and caregiving at the beginning of the COVID-19 pandemic. Dementia 2022;21(5):1734 View
  15. Menaouer B, Zahra A, Mohammed S. Multi-Class Sentiment Classification for Healthcare Tweets Using Supervised Learning Techniques. International Journal of Service Science, Management, Engineering, and Technology 2022;13(1):1 View
  16. A. Rahim A, Ibrahim M, Musa K, Chua S, Yaacob N. Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews. International Journal of Environmental Research and Public Health 2021;18(18):9912 View
  17. Wesson P, Hswen Y, Valdes G, Stojanovski K, Handley M. Risks and Opportunities to Ensure Equity in the Application of Big Data Research in Public Health. Annual Review of Public Health 2022;43(1):59 View
  18. Hswen Y, Moran A, Prasad S, Li A, Simon D, Cleveland L, Hawkins J, Brownstein J, Block J. The Federal Menu Labeling Law and Twitter Discussions about Calories in the United States: An Interrupted Time-Series Analysis. International Journal of Environmental Research and Public Health 2021;18(20):10794 View
  19. Anderson J, Jabson Tree J, Flatt J, Smith J, Morgan K, Beebe L, Rose K. Use of Digital Health Resources by Sexual and Gender Minority Caregivers of Older Adults: Findings From the 2020 Caregiving in the U.S. Survey. Journal of Family Nursing 2024;30(1):68 View
  20. Esmaeilzadeh P. Privacy Concerns About Sharing General and Specific Health Information on Twitter: Quantitative Study. JMIR Formative Research 2024;8:e45573 View
  21. Mainardes E, Borba E, Dalvi R. The impact of patient experience dimensions on hospitals reputation and electronic word-of-mouth. Health Marketing Quarterly 2024:1 View
  22. Anderson J, Summers A, Ahn S, Harris R, Smith J, Jabson Tree J, Neal A, Misawa M, Rauer A. Digital Health and Caregiving Resources Used by Family Caregivers of Older Adults During the COVID-19 Pandemic. Journal of Family Nursing 2024;30(3):218 View

Books/Policy Documents

  1. Leightley D, Sharp M, Williamson V, Fear N, Gribble R. Social Media and the Armed Forces. View
  2. Leitgöb H, Wolbring T. Sozialwissenschaftliche Datenerhebung im digitalen Zeitalter. View
  3. Leightley D, Sharp M, Williamson V, Fear N, Gribble R. Soziale Medien und die Streitkräfte. View