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

Quality/Credibility of eHealth Information and Trust Issues (531)

Published on in Vol 7, No 5 (2005):

Automated Assessment of the Quality of Depression Websites

Automated Assessment of the Quality of Depression Websites

Automated Assessment of the Quality of Depression Websites

Authors of this article:

Kathleen M Griffiths ;   Thanh Tin Tang ;   David Hawking ;   Helen Christensen
Article Authors Cited by (43) Tweetations Metrics

Journals

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  17. Rosenman S, Christensen H, Griffiths K. What is to Become of the College Clinical Practice Guidelines?. Australasian Psychiatry 2008;16(1):1 View
  18. Papavlasopoulos S, Poulos M, Bokos G. Towards Constructing a Bibliometric Cited Distance Factor for an Article Using an Elman Neural Network. Collnet Journal of Scientometrics and Information Management 2009;3(1):17 View
  19. Mayer M, Karampiperis P, Kukurikos A, Karkaletsis V, Stamatakis K, Villarroel D, Leis A. Applying Semantic Web technologies to improve the retrieval, credibility and use of health-related web resources. Health Informatics Journal 2011;17(2):95 View
  20. Harris I, Roberts L. Exploring the Use and Effects of Deliberate Self-Harm Websites: An Internet-Based Study. Journal of Medical Internet Research 2013;15(12):e285 View
  21. Davis S, Lewis C. Impassioned Communication and Virtual Support Roles of Online Postings: The Case of Self-Harmers. Illness, Crisis & Loss 2019;27(1):19 View
  22. Evans W. Bibliography. Health Communication 2006;20(1):109 View
  23. Wang Y, Liu Z. Automatic detecting indicators for quality of health information on the Web. International Journal of Medical Informatics 2007;76(8):575 View
  24. Song S, Zhang Y, Yu B. Interventions to support consumer evaluation of online health information credibility: A scoping review. International Journal of Medical Informatics 2021;145:104321 View
  25. Nădăşan V. The Quality of Online Health-Related Information – an Emergent Consumer Health Issue. Acta Medica Marisiensis 2016;62(4):408 View
  26. Fernández-Pichel M, Losada D, Pichel J. A multistage retrieval system for health-related misinformation detection. Engineering Applications of Artificial Intelligence 2022;115:105211 View
  27. Alyusuf R, Prasad K, Satir A, Abalkhail A, Arora R. Development and validation of a tool to evaluate the quality of medical education websites in pathology. Journal of Pathology Informatics 2013;4(1):29 View
  28. Horwood G, Augoustinos M. ‘It’s more than sadness’: The Discursive Construction of Depression on Australian Depression Websites. Qualitative Health Research 2022;32(7):1185 View
  29. Ölçer D, Taşkaya Temizel T. Quality assessment of web-based information on type 2 diabetes. Online Information Review 2022;46(4):715 View
  30. Kurtuluş İ. Measurement of the Reliability and Quality of Online Surgery Videos with Artificial Neural Networks. Istanbul Medical Journal 2022;23(2):79 View
  31. Alan R, Alan B. Utilizing ChatGPT-4 for Providing Information on Periodontal Disease to Patients: A DISCERN Quality Analysis. Cureus 2023 View

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