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

Prevention and Health Promotion (1015) Smoking Cessation (566) Information Quality in Digital Media (347)

Published on in Vol 3, No 1 (2017): Jan-Mar

The Readability of Electronic Cigarette Health Information and Advice: A Quantitative Analysis of Web-Based Information

The Readability of Electronic Cigarette Health Information and Advice: A Quantitative Analysis of Web-Based Information

The Readability of Electronic Cigarette Health Information and Advice: A Quantitative Analysis of Web-Based Information

Authors of this article:

Albert Park1 Author Orcid Image ;   Shu-Hong Zhu2 Author Orcid Image ;   Mike Conway1 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Journals

  1. Gao L, Calderon T, Tang F. Public companies' cybersecurity risk disclosures. International Journal of Accounting Information Systems 2020;38:100468 View
  2. Park A, Conway M. Harnessing Reddit to Understand the Written-Communication Challenges Experienced by Individuals With Mental Health Disorders: Analysis of Texts From Mental Health Communities. Journal of Medical Internet Research 2018;20(4):e121 View
  3. Gao L. Exploring the Data Processing Practices of Cloud ERP—A Case Study. Journal of Emerging Technologies in Accounting 2020;17(1):63 View
  4. McCausland K, Maycock B, Leaver T, Wolf K, Freeman B, Jancey J. “Is it banned? Is it illegal?”: Navigating Western Australia's regulatory environment for e-cigarettes. International Journal of Drug Policy 2021;94:103177 View
  5. Oduru T, Jordan A, Park A. Healthy vs. Unhealthy Food Images: Image Classification of Twitter Images. International Journal of Environmental Research and Public Health 2022;19(2):923 View
  6. Ghahramani A, de Courten M, Prokofieva M. “The potential of social media in health promotion beyond creating awareness: an integrative review”. BMC Public Health 2022;22(1) View
  7. De S, Shukla R. An analysis of privacy policies of publicCOVID‐19 apps: Evidence from India. Journal of Public Affairs 2022;22(S1) View
  8. Wood L, Agbonlahor O, Tomlinson M, Kerstiens S, Vincent K, McLeish A, Walker K, Hart J. Readability of online e-cigarette cessation information. Tobacco Induced Diseases 2022;20(June):1 View
  9. Moon H, Lee G, Cho Y. Readability of Korean-Language COVID-19 Information from the South Korean National COVID-19 Portal Intended for the General Public: Cross-sectional Infodemiology Study. JMIR Formative Research 2022;6(3):e30085 View
  10. Mphasha M, Mokubela G, Ramokotedi T, Kgari T. Exploratory study on factors influencing the introduction of complementary feeding amongst caregivers of children between 6 and 24 months of age in Polokwane, Limpopo province. South African Family Practice 2022;64(1) View
  11. Hohmuth N, Khanyaree I, Lang A, Duering O, Konigorski S, Višković V, Heising T, Egender F, Remschmidt C, Leistner R. Participatory disease surveillance for a mass gathering — a prospective cohort study on COVID-19, Germany 2021. BMC Public Health 2022;22(1) View
  12. Park A, Sayed F, Robinson P, Elopre L, Ge Y, Li S, Grov C, Sullivan P. Health Information on Pre-Exposure Prophylaxis From Search Engines and Twitter: Readability Analysis. JMIR Public Health and Surveillance 2023;9:e48630 View
  13. Gao L, Eller C, Eggers A. GDPR and the cloud: examining readability deficiencies in cloud computing providers’ privacy policies. Policy Studies 2023;44(6):832 View
  14. Yoo I, Park D, Lee O, Park A. Investigating Older Adults' Use of a Socially Assistive Robot via Time Series Clustering and User Profiling: Descriptive Analysis Study. JMIR Formative Research 2024;8:e41093 View