↓ Skip to main content

Artificial intelligibility: the role of gender in assigning humanness to natural language processing systems

Overview of attention for article published in Journal of Gender Studies, May 2024
Altmetric Badge

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 (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
15 X users
facebook
1 Facebook page
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.
Title
Artificial intelligibility: the role of gender in assigning humanness to natural language processing systems
Published in
Journal of Gender Studies, May 2024
DOI 10.1080/09589236.2024.2348482
Authors

Jenny Carla Moran

X Demographics

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.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 22 May 2024.
All research outputs
#3,448,262
of 25,958,626 outputs
Outputs from Journal of Gender Studies
#137
of 647 outputs
Outputs of similar age
#26,339
of 201,273 outputs
Outputs of similar age from Journal of Gender Studies
#2
of 5 outputs
Altmetric has tracked 25,958,626 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 647 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 78% 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 201,273 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 87% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.