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

Discretionary Corrigenda (87)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43279, first published .
Correction: Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis

Correction: Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis

Correction: Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis

Authors of this article:

Iain Cruickshank1 Author Orcid Image ;   Tamar Ginossar2 Author Orcid Image ;   Jason Sulskis3 Author Orcid Image ;   Elena Zheleva3 Author Orcid Image ;   Tanya Berger-Wolf3, 4 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

    Corrigenda and Addenda

    1Center for Computational Analysis of Social and Organizational Systems, Carnegie Mellon University, Pittsburgh, PA, United States

    2Department of Communication and Journalism, University of New Mexico, Albuquerque, NM, United States

    3Department of Computer Science, The University of Illinois at Chicago, Chicago, IL, United States

    4Translational Data Analytics Institute, The Ohio State University, Colombus, OH, United States

    *all authors contributed equally

    Corresponding Author:

    Iain Cruickshank, BSc, MSc, PhD

    Center for Computational Analysis of Social and Organizational Systems

    Carnegie Mellon University

    5000 Forbes Ave

    Pittsburgh, PA, 15201

    United States

    Phone: 1 7192371515

    Email: icruicks@andrew.cmu.edu



    In “Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis” ([JMIR Res 2021;23(12):e29127) the authors made one clarification.

    The sentences:

    Whereas the exact identity of the alternative media that was documented in this study (e.g., Raw Story) might not necessarily be important in a historical perspective, these processes of agenda setting have both theoretical and practical implications for public health efforts. Unfortunately, in this context, prominence of these fringe sources is also associated with misinformation, conspiracy theories, and vaccine-opposing messages.

    Have been clarified to read:

    Agenda setting by non-legacy media sources has both theoretical and practical implications for public health efforts. Unfortunately, in this context, these sources are also used by Twitter users associated with misinformation, conspiracy theories, and vaccine opposing messages.

    The correction will appear in the online version of the paper on the JMIR Publications website on January 9, 2023, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    This is a non–peer-reviewed article. submitted 06.10.22; accepted 12.10.22; published 09.01.23.

    Copyright

    ©Iain Cruickshank, Tamar Ginossar, Jason Sulskis, Elena Zheleva, Tanya Berger-Wolf. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 09.01.2023.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.