Reliable or not? An automated classification of webpages about early childhood vaccination using supervised machine learning.

Journal: Patient education and counseling
Published Date: Nov 12, 2020

Abstract

OBJECTIVE: To investigate the applicability of supervised machine learning (SML) to classify health-related webpages as 'reliable' or 'unreliable' in an automated way.

Authors

  • Corine S Meppelink
    Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, the Netherlands. Electronic address: c.s.meppelink@uva.nl.
  • Hanneke Hendriks
    Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, the Netherlands.
  • Damian Trilling
    Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, the Netherlands.
  • Julia C M van Weert
    Department of Communication Science, Amsterdam School of Communication Research, Univeristy of Amsterdam, Amsterdam, Netherlands.
  • Anqi Shao
    Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, the Netherlands; Life Sciences Communication, University of Wisconsin-Madison, United States.
  • Eline S Smit
    Amsterdam School of Communication Research, University of Amsterdam, Amsterdam, the Netherlands.

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