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Hate Speech - Multidisziplinäre Analysen und Handlungsoptionen

Overview of attention for book
Hate Speech - Multidisziplinäre Analysen und Handlungsoptionen
Springer Fachmedien Wiesbaden
Attention for Chapter: Addressing Hate Speech with Data Science: An Overview from Computer Science Perspective
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
17 Mendeley
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Chapter title
Addressing Hate Speech with Data Science: An Overview from Computer Science Perspective
Book title
Hate Speech - Multidisziplinäre Analysen und Handlungsoptionen
Published in
arXiv, April 2021
DOI 10.1007/978-3-658-31793-5_14
Book ISBNs
978-3-65-831792-8, 978-3-65-831793-5
Authors

Ivan Srba, Gabriele Lenzini, Matus Pikuliak, Samuel Pecar, Srba, Ivan, Lenzini, Gabriele, Pikuliak, Matus, Pecar, Samuel

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 4 24%
Student > Ph. D. Student 2 12%
Student > Master 2 12%
Lecturer > Senior Lecturer 1 6%
Unspecified 1 6%
Other 1 6%
Unknown 6 35%
Readers by discipline Count As %
Computer Science 5 29%
Unspecified 2 12%
Business, Management and Accounting 1 6%
Engineering 1 6%
Unknown 8 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 November 2022.
All research outputs
#3,376,145
of 23,577,761 outputs
Outputs from arXiv
#62,260
of 976,259 outputs
Outputs of similar age
#84,378
of 438,910 outputs
Outputs of similar age from arXiv
#2,278
of 34,574 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 976,259 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 93% 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 438,910 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 34,574 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 93% of its contemporaries.