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The purpose of this research was to study the spreading of political hate speech by the far right through Twitter. A mixed methodology was employed, combining both quantitative and qualitative tools…

Overview of attention for article published in Comunicar, July 2022
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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 (#1 of 533)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
1 news outlet
twitter
104 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
18 Mendeley
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Title
The purpose of this research was to study the spreading of political hate speech by the far right through Twitter. A mixed methodology was employed, combining both quantitative and qualitative tools, within the framework of digital ethnography. Five characteristic cases of campaigns linked to political hate speech were chosen, meeting the four criteria set: Latin American scope with representativeness in terms of breadth and impact, political motivation, more than 100,000 tweets, and massive use of fake accounts. The analysis was performed with T-Hoarder, Gephi and MAXQDA. The conclusions drawn are that these campaigns do not occur spontaneously. Rather, a destabilizing political intention lies behind them, sponsored by organizations with considerable ability to disseminate messages and with extensive funds. The massive presence of false accounts, the repetition of certain spelling errors in identical form and the striking increase in the number of accounts just before campaigns are evidence of the automation of these processes. The constant use of aggressive and disparaging terms associated with hatred triggers extreme polarization and a climate of tension, threatening the building and consolidation of democracy itself. Apart from punitive measures, there is a need to implement educational proposals.
Published in
Comunicar, July 2022
DOI 10.3916/c72-2022-08
Authors

Enrique Díez-Gutiérrez, María Verdeja, José Sarrión-Andaluz, Luis Buendía, Julián Macías-Tovar

X Demographics

X Demographics

The data shown below were collected from the profiles of 104 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 11%
Student > Ph. D. Student 2 11%
Student > Master 2 11%
Professor 1 6%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 9 50%
Readers by discipline Count As %
Social Sciences 6 33%
Computer Science 1 6%
Arts and Humanities 1 6%
Economics, Econometrics and Finance 1 6%
Chemistry 1 6%
Other 0 0%
Unknown 8 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 100. 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
#430,000
of 25,774,185 outputs
Outputs from Comunicar
#1
of 533 outputs
Outputs of similar age
#11,361
of 441,847 outputs
Outputs of similar age from Comunicar
#1
of 9 outputs
Altmetric has tracked 25,774,185 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 533 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. 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 441,847 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 9 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