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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
  • One of the highest-scoring outputs from this source (#9 of 419)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
9 news outlets
blogs
2 blogs
twitter
28 tweeters
facebook
1 Facebook page
reddit
2 Redditors

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
53 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

Twitter Demographics

The data shown below were collected from the profiles of 28 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 21%
Student > Ph. D. Student 7 13%
Student > Bachelor 5 9%
Professor > Associate Professor 5 9%
Professor 5 9%
Other 12 23%
Unknown 8 15%
Readers by discipline Count As %
Social Sciences 21 40%
Computer Science 5 9%
Psychology 4 8%
Biochemistry, Genetics and Molecular Biology 3 6%
Sports and Recreations 2 4%
Other 9 17%
Unknown 9 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 110. 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 26 March 2021.
All research outputs
#221,757
of 17,520,458 outputs
Outputs from Human Communication Research
#9
of 419 outputs
Outputs of similar age
#8,479
of 292,919 outputs
Outputs of similar age from Human Communication Research
#1
of 7 outputs
Altmetric has tracked 17,520,458 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 419 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done particularly well, scoring higher than 97% 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 292,919 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