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The Uproar Over Gene-Edited Babies: A Semantic Network Analysis of CRISPR on Twitter
16 references·6 citing·37 second hop
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References

  • 1956The magical number seven, plus or minus two: Some limits on our capacity for processing information.17,773 cited
  • 1994The magical number seven, plus or minus two: Some limits on our capacity for processing information.17,161 cited
  • 2001The magical number 4 in short-term memory: A reconsideration of mental storage capacity6,778 cited
  • 2009Diffusion of Innovations2,442 cited
  • 2008Text Mining Infrastructure in R1,258 cited
  • 2016Working Memory Capacity937 cited
  • 2002News Framing as a Multiparadigmatic Research Program: a Response to Entman686 cited
  • 2013New media landscapes and the science information consumer430 cited
  • 2002News Framing as a Multiparadigmatic Research Program: A Response to Entman420 cited
  • 2013Science, New Media, and the Public415 cited
  • 2001Agenda-setting157 cited
  • 2016Exaggerations and Caveats in Press Releases and Health-Related Science News155 cited
  • 2010Science on Television in the 21st Century143 cited
  • 2011Scientific Sources and the Mass Media: Forms and Consequences of Medialization67 cited
  • 2012Another (methodological) look at knowledge gaps and the Internet’s potential for closing them62 cited

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  • 2018Tweeting about measles during stages of an outbreak: A semantic network approach to the framing of an emerging infectious disease54 cited
  • Cited by

    • 2020Saw It on Facebook: The Role of Social Media in Facilitating Science Issue Awareness35 cited
    • 2023Exploring the Early Adoption of Open AI among Laypeople and Technical Professionals: An Analysis of Twitter Conversations on #ChatGPT and #GPT322 cited
    • 2021Changing Social Representations and Agenda Interactions of Gene Editing After Crises: A Network Agenda-Setting Study on Chinese Social Media21 cited
    • 2022The Public Perception of the #GeneEditedBabies Event Across Multiple Social Media Platforms: Observational Study17 cited
    • 2022Comparison of public discussions of gene editing on social media between the United States and China15 cited
    • 2023Analyzing the dynamics of social media texts using coherency network analysis: a case study of the tweets with the co-hashtags of #BlackLivesMatter and #StopAsianHate1 cited