Evidence map›Paper›PMID 36698572›Full record

ArticleFrontiers in psychology2022

Language and gender: Computerized text analyses predict gender ratios from organizational descriptions.

Lotta Stille, Sverker Sikström, Anna Lindqvist, Emma A Renström, Marie Gustafsson Sendén

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 99% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Lotta StilleDepartment of Psychology, Lund University, Lund, Sweden.
Sverker SikströmDepartment of Psychology, Lund University, Lund, Sweden.
Anna LindqvistDepartment of Psychology, Lund University, Lund, Sweden.
Emma A RenströmDepartment of Psychology, Kristianstad University, Kristianstad, Sweden.
Marie Gustafsson SendénDepartment of Psychology, Stockholm University, Stockholm, Sweden.
Lund University · SEKristianstad University · SEStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous research has shown that language in job adverts implicitly communicates gender stereotypes, which, in turn, influence employees' perceived fit with the job. In this way, language both reflects and maintains a gender segregated job market. The aim of this study was to test whether, and how, language in organizational descriptions reflects gender segregation in the organizations by the use of computational text analyses. We analyzed large Swedish companies' organizational descriptions from LinkedIn (

Indexed as

gender segregationjob marketnatural language processingorganizational descriptionsperceived fit

Identifiers

PMID36698572
PMCPMC9869037
OpenAlexW4315481019

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.