↓ Skip to main content

Partisan Blocking: Biased Responses to Shared Misinformation Contribute to Network Polarization on Social Media

Overview of attention for article published in Journal of Communication, March 2022
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
twitter
67 X users
reddit
3 Redditors

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
50 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Partisan Blocking: Biased Responses to Shared Misinformation Contribute to Network Polarization on Social Media
Published in
Journal of Communication, March 2022
DOI 10.1093/joc/jqac002
Authors

Johannes Kaiser, Cristian Vaccari, Andrew Chadwick

Abstract

Researchers know little about how people respond to misinformation shared by their social media “friends.” Do responses scale up to distort the structure of online networks? We focus on an important yet under-researched response to misinformation—blocking or unfollowing a friend who shares it—and assess whether this is influenced by political similarity between friends. Using a representative sample of social media users (n = 968), we conducted two 2x2 between-subjects experiments focusing on two political issues and individuals’ political ideology as a quasi-factor. The first factor manipulated who shared the misinformation (politically similar vs. dissimilar friend); the second manipulated the misinformation’s plausibility (implausible vs. moderately plausible). Our findings, which replicated across political issues and levels of plausibility, reveal that social media users, particularly left-wing users, are more likely to block and unfollow politically dissimilar than similar friends who share misinformation. Partisan blocking contributes to network polarization on social media.

X Demographics

X Demographics

The data shown below were collected from the profiles of 67 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Student > Master 8 16%
Researcher 5 10%
Librarian 2 4%
Lecturer 1 2%
Other 4 8%
Unknown 21 42%
Readers by discipline Count As %
Social Sciences 20 40%
Arts and Humanities 2 4%
Business, Management and Accounting 2 4%
Computer Science 1 2%
Linguistics 1 2%
Other 2 4%
Unknown 22 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 56. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 August 2023.
All research outputs
#772,640
of 25,718,113 outputs
Outputs from Journal of Communication
#139
of 1,305 outputs
Outputs of similar age
#19,640
of 448,538 outputs
Outputs of similar age from Journal of Communication
#2
of 8 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,305 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.0. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 448,538 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.