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Interaction or Segregation: Vaccination and Information Sharing on Twitter

Published: 30 October 2018 Publication History

Abstract

It is argued that anti-vaccination advocates use social media to spread their influence. At the same time pro-vaccination groups are having a stronger social-media presence. This study examined information-sharing behavior regarding vaccination by analyzing hyperlinks shared on Twitter, and found that these two groups exhibit different behaviors. While anti-vaccination group uses embedded URLs more than the pro-vaccination one, they pool from the smaller group of URLs risking the echo chamber or filter bubble effects. Unsurprisingly, there are very few information sources shared by both groups.

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References

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Cited By

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  • (2024)iNIMBY? The potential of automated social media bots to create echo chambers in the online participatory planning discourseInternational Planning Studies10.1080/13563475.2024.243365029:4(436-448)Online publication date: 25-Nov-2024
  • (2023)Who’s fuelling Twitter disinformation on the COVID-19 vaccination campaign? Evidence from a computational analysis of the green pass debateContemporary Italian Politics10.1080/23248823.2023.218273515:4(468-493)Online publication date: Mar-2023
  • (2022)Devotees on an Astroturf: Media, Politics, and Outrage in the Suicide of a Popular FilmStarProceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3530190.3534801(453-475)Online publication date: 29-Jun-2022

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cover image ACM Conferences
CSCW '18 Companion: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing
October 2018
518 pages
ISBN:9781450360180
DOI:10.1145/3272973
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 30 October 2018

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Author Tags

  1. filter bubble
  2. information sharing
  3. twitter
  4. vaccination

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CSCW '18 Companion Paper Acceptance Rate 105 of 385 submissions, 27%;
Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

View all
  • (2024)iNIMBY? The potential of automated social media bots to create echo chambers in the online participatory planning discourseInternational Planning Studies10.1080/13563475.2024.243365029:4(436-448)Online publication date: 25-Nov-2024
  • (2023)Who’s fuelling Twitter disinformation on the COVID-19 vaccination campaign? Evidence from a computational analysis of the green pass debateContemporary Italian Politics10.1080/23248823.2023.218273515:4(468-493)Online publication date: Mar-2023
  • (2022)Devotees on an Astroturf: Media, Politics, and Outrage in the Suicide of a Popular FilmStarProceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3530190.3534801(453-475)Online publication date: 29-Jun-2022

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