Log in Sign up
1 Matching Annotations
  1. Mar 2021
  2. www.tandfonline.com www.tandfonline.com
    Using Text Mining to Compare Online Pro- and Anti-Vaccine Headlines: Word Usage, Sentiments, and Online Popularity
    1
    1. SIYANYE 19 Mar 2021
      in BehSci

      Xu, Z., & Guo, H. (2018). Using Text Mining to Compare Online Pro- and Anti-Vaccine Headlines: Word Usage, Sentiments, and Online Popularity. Communication Studies, 69(1), 103–122. https://doi.org/10.1080/10510974.2017.1414068

      lang:en is:article text mining online vaccine word usage sentiment online popularity anti-vaccination misinformation sentiment analysis trust detection
    Visit annotations in context

    Tags

    • word usage
    • is:article
    • detection
    • online popularity
    • sentiment analysis
    • lang:en
    • trust
    • vaccine
    • anti-vaccination
    • online
    • sentiment
    • misinformation
    • text mining

    Annotators

    • SIYANYE

    URL

    tandfonline.com/doi/full/10.1080/10510974.2017.1414068
Share:
Group. Only group members will be able to view this annotation.
Only me. No one else will be able to view this annotation.
Hypothes.is
  • About
  • Blog
  • Bioscience
  • Education
  • Jobs
  • Help
  • Contact
  • Terms of Service
  • Privacy Policy