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

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