Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20619, first published .
The Abortion Web Ecosystem: Cross-Sectional Analysis of Trustworthiness and Bias

The Abortion Web Ecosystem: Cross-Sectional Analysis of Trustworthiness and Bias

The Abortion Web Ecosystem: Cross-Sectional Analysis of Trustworthiness and Bias

Leo Han   1 , MD, MPH ;   Emily R Boniface   1 , MPH ;   Lisa Yin Han   2, 3 , PhD ;   Jonathan Albright   4 , PhD ;   Nora Doty   5 , MD, MPH ;   Blair G Darney   1, 6, 7 , PhD, MPH

1 Department of Obstetrics and Gynecology, Oregon Health and Science University, Portland, OR, United States

2 Department of English, Arizona State University, Tempe, AZ, United States

3 Department of Film and Media Studies, University of California–Santa Barbara, Santa Barbara, CA, United States

4 Tow Center for Digital Journalism, Graduate School of Journalism, Columbia University, New York, NY, United States

5 Jersey Shore University Medical Center, Department of Obstetrics and Gynecology, Neptune, NJ, United States

6 Center for Population Health Research, National Institute of Public Health, Cuernavaca, Mexico

7 School of Public Health, Oregon Health and Science University–Portland State University, Portland, OR, United States

Corresponding Author:

  • Lisa Yin Han, PhD
  • Department of English
  • Arizona State University
  • Ross-Blakley Hall
  • 1102 S McAllister Ave
  • Tempe, AZ, 85281
  • United States
  • Phone: 1 720-201-1533
  • Email: lyhan@asu.edu