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

Formative Evaluation of Digital Health Interventions (2491) eHealth Literacy / Digital Literacy (396) Quality/Credibility of eHealth Information and Trust Issues (544) Information Retrieval (296) Natural Language Processing (706) Machine Learning (1501) Mental Health Issues in Elderly Patients and Geriatric Psychiatry (95) Methods and New Tools in Mental Health Research (463) Dementia and Cognitive Decline (502) Cognitive Training for the Elderly (98) Diagnostic Tools in Mental Health (248) Linguistics, Comprehension, and Learning (53)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48143, first published .
Investigating the Readability and Linguistic, Psychological, and Emotional Characteristics of Digital Dementia Information Written in the English Language: Multitrait-Multimethod Text Analysis

Investigating the Readability and Linguistic, Psychological, and Emotional Characteristics of Digital Dementia Information Written in the English Language: Multitrait-Multimethod Text Analysis

Investigating the Readability and Linguistic, Psychological, and Emotional Characteristics of Digital Dementia Information Written in the English Language: Multitrait-Multimethod Text Analysis

Authors of this article:

Margi Engineer1 Author Orcid Image ;   Sushant Kot1 Author Orcid Image ;   Emma Dixon2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Cho H, Kim K, Kim J, Youn B. Twitter Discussions on #digitaldementia: Content and Sentiment Analysis. Journal of Medical Internet Research 2024;26:e59546 View