2020
DOI: 10.1371/journal.pone.0233746
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Text mining of online job advertisements to identify direct discrimination during job hunting process: A case study in Indonesia

Abstract: Discrimination in the workplace is illegal, yet discriminatory practices remain a persistent global problem. To identify discriminatory practices in the workplace, job advertisement analysis was used by previous studies. However, most of those studies adopted content analysis by manually coding the text from a limited number of samples since working with a large scale of job advertisements consisting of unstructured text data is very challenging. Encountering those limitations, the present study involves text … Show more

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Cited by 25 publications
(13 citation statements)
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“…We also contribute to the literature documenting the presence of explicit gender preferences in job ads (Kuhn and Shen, 2013;Helleseter et al, 2020;Ningrum et al, 2020;Chowdhury et al, 2018). In contrast to much of this literature, with the exception of Kuhn et al (2020), we observe applications data which allows us to investigate how job seekers respond to explicit gender requests.…”
Section: Introductionmentioning
confidence: 96%
“…We also contribute to the literature documenting the presence of explicit gender preferences in job ads (Kuhn and Shen, 2013;Helleseter et al, 2020;Ningrum et al, 2020;Chowdhury et al, 2018). In contrast to much of this literature, with the exception of Kuhn et al (2020), we observe applications data which allows us to investigate how job seekers respond to explicit gender requests.…”
Section: Introductionmentioning
confidence: 96%
“…However, research on JSO is not yet mature and well developed, let alone how CSE influences JSO (Ningrum et al, 2020 ). The currently recognized factors that influence JSO are attributed to individual factors, labor market, and resources (Xie & Lu, 2016 ).…”
Section: Introductionmentioning
confidence: 99%
“…Consistent with that model (which is based on application processing costs), we show that profiling is more common in less-skilled jobs. Delgado Helleseter, and Ningrum et al (2020) show that there is a strong interaction between genderprofiling and explicit employer requests for other demographic characteristics, including age, marital status and beauty. Specifically, employers ask women to be young, single and attractive, and men to be older and married.…”
Section: Background and Motivationmentioning
confidence: 99%