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

Infodemiology and Infoveillance (1349) Crowdsourcing and Mechanical Turks (98) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Machine Learning (1465) Natural Language Processing (693) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) CRISPR and Gene Editing (1)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17830, first published .
Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning

Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning

Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning

Authors of this article:

Martin Müller1 Author Orcid Image ;   Manuel Schneider2 Author Orcid Image ;   Marcel Salathé1 Author Orcid Image ;   Effy Vayena2 Author Orcid Image
Article Authors Cited by (11) Tweetations (27) Metrics

Journals

  1. Adashi E, Burgess M, Burall S, Cohen I, Fleck L, Harris J, Holm S, Lafont C, Moreno J, Neblo M, Niemeyer S, Rowe E, Scheufele D, Tetsa P, Vayena E, Watermeyer R, Fung A. Heritable Human Genome Editing: The Public Engagement Imperative. The CRISPR Journal 2020;3(6):434 View
  2. Vajen B, Ronez J, Rathje W, Heinisch L, Ebeling S, Gebhard U, Hößle C, Schlegelberger B. Students’ attitudes towards somatic genome editing versus genome editing of the germline using an example of familial leukemia. Journal of Community Genetics 2021;12(3):397 View
  3. Schneider M. A Platform to Develop and Apply Digital Methods for Empirical Bioethics Research: Mixed Methods Design and Development Study. JMIR Formative Research 2022;6(5):e28558 View
  4. Ni C, Wan Z, Yan C, Liu Y, Clayton E, Malin B, Yin Z. The Public Perception of the #GeneEditedBabies Event Across Multiple Social Media Platforms: Observational Study. Journal of Medical Internet Research 2022;24(3):e31687 View
  5. Shen L, Xu M, Qu Z. Student Public Opinion Management in Campus Commentary Based on Deep Learning. Wireless Communications and Mobile Computing 2022;2022:1 View
  6. Beghin J, Gustafson C. Consumer Valuation of and Attitudes towards Novel Foods Produced with New Plant Engineering Techniques: A Review. Sustainability 2021;13(20):11348 View
  7. Schneider M, Vayena E, Blasimme A. Digital bioethics: introducing new methods for the study of bioethical issues. Journal of Medical Ethics 2023;49(11):783 View
  8. Lee M. Deep learning in CRISPR-Cas systems: a review of recent studies. Frontiers in Bioengineering and Biotechnology 2023;11 View
  9. Crossland-Marr L, Giurca A, Tsingos M, Schnurr M, Ely A, Glover D, Stone G, Fischer K. Siloed discourses: a year-long study of twitter engagement on the use of CRISPR in food and agriculture. New Genetics and Society 2023;42(1) View

Books/Policy Documents

  1. Baik E, Koshy A, Hardy B. Molecular Biology and Clinical Medicine in the Age of Politicization. View