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Why Do People Share Ideologically Extreme, False, and Misleading Content on Social Media? A Self-Report and Trace Data–Based Analysis of Countermedia Content Dissemination on Facebook and Twitter

Overview of attention for article published in Human Communication Research, May 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 548)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
12 news outlets
blogs
2 blogs
policy
1 policy source
twitter
35 X users
facebook
1 Facebook page
reddit
2 Redditors

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
146 Mendeley
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Title
Why Do People Share Ideologically Extreme, False, and Misleading Content on Social Media? A Self-Report and Trace Data–Based Analysis of Countermedia Content Dissemination on Facebook and Twitter
Published in
Human Communication Research, May 2020
DOI 10.1093/hcr/hqz022
Authors

Toby Hopp, Patrick Ferrucci, Chris J Vargo

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 16%
Student > Master 19 13%
Professor 10 7%
Student > Bachelor 8 5%
Student > Doctoral Student 7 5%
Other 28 19%
Unknown 51 35%
Readers by discipline Count As %
Social Sciences 43 29%
Psychology 11 8%
Computer Science 11 8%
Economics, Econometrics and Finance 5 3%
Engineering 4 3%
Other 18 12%
Unknown 54 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 135. 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 10 February 2024.
All research outputs
#312,539
of 26,017,215 outputs
Outputs from Human Communication Research
#18
of 548 outputs
Outputs of similar age
#10,270
of 427,215 outputs
Outputs of similar age from Human Communication Research
#1
of 7 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 548 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one has done particularly well, scoring higher than 96% 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 427,215 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 97% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them