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Article History

Received: 11 May 2025

Accepted: 20 November 2025

First Online: 12 December 2025

Declarations

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: This study is based on publicly shared data by LinkedIn users, which was collected using a third-party data provider of LinkedIn in the form of anonymized information and hence not personally identifiable. We have also not scraped gender, race, or other such attributes and not used them in our research. Hence, the scraping of this data does not raise questions around data privacy. There is no conflict of interests in using this data as this is publicly shared and available and has been used to build machine learning models which are supposed to help employers as well as employees. Also, the data is scraped by an authorized third-party tool in anonymized form. Hence this process is compliant with LinkedIn’s policy. Thus, all ethical standards have been adhered to in conducting this research.This study is based on publicly shared data by LinkedIn users, which was collected using a third-party data provider of LinkedIn in the form of anonymized information and hence not personally identifiable. Hence consent to participate is not applicable for this study.

: This study is based on publicly shared data by LinkedIn users, which was collected using a third-party data provider of LinkedIn in the form of anonymized information and hence not personally identifiable. Hence consent to publish is not applicable for this study.

: The authors declare no competing interests.