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

Infodemic Management (51) JMIR Theme Issue: COVID-19 Special Issue (2473) Mass Media/Social Media Communication and Campaigns (485) Infodemiology and Infoveillance (1405) Outbreak and Pandemic Preparedness and Management (1767) Natural Language Processing (747) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1068) Machine Learning (1585)

Published on in Vol 2, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38839, first published .
Data Exploration and Classification of News Article Reliability: Deep Learning Study

Data Exploration and Classification of News Article Reliability: Deep Learning Study

Data Exploration and Classification of News Article Reliability: Deep Learning Study

Authors of this article:

Kevin Zhan1 Author Orcid Image ;   Yutong Li1 Author Orcid Image ;   Rafay Osmani2 Author Orcid Image ;   Xiaoyu Wang3 Author Orcid Image ;   Bo Cao1 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Boroumand S, Littleton A, Aregbe A, Gu E, Huelsboemer L, Stögner V, Lewis K, Kauke-Navarro M, Haykal S, Pomahac B. Reading Between the Tabloids: An Objective Analysis of the Quality and Readability of Patient Encountered Online Material for Face Transplantation. Journal of Craniofacial Surgery 2024 View

Books/Policy Documents

  1. Reid C. Palgrave Handbook of Science and Health Journalism. View