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Emotion shapes the diffusion of moralized content in social networks

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, June 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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580 Dimensions

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1263 Mendeley
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2 CiteULike
Title
Emotion shapes the diffusion of moralized content in social networks
Published in
Proceedings of the National Academy of Sciences of the United States of America, June 2017
DOI 10.1073/pnas.1618923114
Pubmed ID
Authors

William J. Brady, Julian A. Wills, John T. Jost, Joshua A. Tucker, Jay J. Van Bavel

Abstract

Political debate concerning moralized issues is increasingly common in online social networks. However, moral psychology has yet to incorporate the study of social networks to investigate processes by which some moral ideas spread more rapidly or broadly than others. Here, we show that the expression of moral emotion is key for the spread of moral and political ideas in online social networks, a process we call "moral contagion." Using a large sample of social media communications about three polarizing moral/political issues (n = 563,312), we observed that the presence of moral-emotional words in messages increased their diffusion by a factor of 20% for each additional word. Furthermore, we found that moral contagion was bounded by group membership; moral-emotional language increased diffusion more strongly within liberal and conservative networks, and less between them. Our results highlight the importance of emotion in the social transmission of moral ideas and also demonstrate the utility of social network methods for studying morality. These findings offer insights into how people are exposed to moral and political ideas through social networks, thus expanding models of social influence and group polarization as people become increasingly immersed in social media networks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2,236 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 1,263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 1262 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 275 22%
Student > Master 168 13%
Student > Bachelor 140 11%
Researcher 139 11%
Student > Doctoral Student 72 6%
Other 187 15%
Unknown 282 22%
Readers by discipline Count As %
Psychology 293 23%
Social Sciences 248 20%
Computer Science 73 6%
Business, Management and Accounting 55 4%
Arts and Humanities 35 3%
Other 219 17%
Unknown 340 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1985. 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 24 April 2024.
All research outputs
#4,748
of 25,789,020 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#154
of 103,754 outputs
Outputs of similar age
#67
of 329,461 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#5
of 960 outputs
Altmetric has tracked 25,789,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,754 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done particularly well, scoring higher than 99% 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 329,461 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 99% of its contemporaries.
We're also able to compare this research output to 960 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.