You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Hate Speech Classifiers Learn Normative Social Stereotypes
|
|---|---|
| Published in |
Transactions of the Association for Computational Linguistics, March 2023
|
| DOI | 10.1162/tacl_a_00550 |
| Authors |
Aida Mostafazadeh Davani, Mohammad Atari, Brendan Kennedy, Morteza Dehghani |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 60% |
| Canada | 1 | 7% |
| Sweden | 1 | 7% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 73% |
| Members of the public | 4 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Professor | 2 | 9% |
| Student > Master | 2 | 9% |
| Researcher | 2 | 9% |
| Other | 4 | 18% |
| Unknown | 8 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 27% |
| Social Sciences | 3 | 14% |
| Arts and Humanities | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 8 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 25 March 2023.
All research outputs
#4,197,092
of 25,918,061 outputs
Outputs from Transactions of the Association for Computational Linguistics
#62
of 258 outputs
Outputs of similar age
#74,581
of 426,721 outputs
Outputs of similar age from Transactions of the Association for Computational Linguistics
#1
of 4 outputs
Altmetric has tracked 25,918,061 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 258 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 73% 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 426,721 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 82% of its contemporaries.
We're also able to compare this research output to 4 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