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

JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Infodemiology and Infoveillance (1349) Infectious Diseases (non-STD/STI) (1575)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28253, first published .
Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource

Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource

Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource

Authors of this article:

Konrad Krawczyk1 Author Orcid Image ;   Tadeusz Chelkowski2 Author Orcid Image ;   Daniel J Laydon3 Author Orcid Image ;   Swapnil Mishra3 Author Orcid Image ;   Denise Xifara4 Author Orcid Image ;   Benjamin Gibert4 Author Orcid Image ;   Seth Flaxman5 Author Orcid Image ;   Thomas Mellan3 Author Orcid Image ;   Veit Schwämmle6 Author Orcid Image ;   Richard Röttger1 Author Orcid Image ;   Johannes T Hadsund1 Author Orcid Image ;   Samir Bhatt3, 7 Author Orcid Image
Article Authors Cited by (63) Tweetations (4) Metrics

Konrad Krawczyk   1 , DPhil ;   Tadeusz Chelkowski   2 , MSc ;   Daniel J Laydon   3 , PhD ;   Swapnil Mishra   3 , PhD ;   Denise Xifara   4 , DPhil ;   Benjamin Gibert   4 , MSc ;   Seth Flaxman   5 , DPhil ;   Thomas Mellan   3 , PhD ;   Veit Schwämmle   6 , PhD ;   Richard Röttger   1 , PhD ;   Johannes T Hadsund   1 , MSc ;   Samir Bhatt   3, 7 , DPhil

1 Department of Mathematics and Computer Science, University of Southern Denmark, Odense, Denmark

2 Department of Management in the Network Society, Kozminski University, Warsaw, Poland

3 Department of Infectious Disease Epidemiology, MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom

4 Nupinion, London, United Kingdom

5 Department of Mathematics, Imperial College London, London, United Kingdom

6 Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark

7 Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark

Corresponding Author:

  • Konrad Krawczyk, DPhil
  • Department of Mathematics and Computer Science
  • University of Southern Denmark
  • Campusvej 55
  • Odense, DK-5230
  • Denmark
  • Phone: 45 6550 2387
  • Email: konradk@imada.sdu.dk