BIASED CYBERVETTING NO RECRUTAMENTO DIGITAL: ENTRE SEGMENTAÇÃO DE MÍDIAS E IDEALIZAÇÕES DE CANDIDATOS

Keywords: Recruitment and selection., Social media., Cybervetting., Candidate idealization.

Abstract

The adoption of digital technologies by recruiters in recruitment and selection (R&S) processes has significantly changed organizational strategies, especially regarding the use of social media. Although previous studies have addressed how these platforms optimize HR activities, there is still a research gap concerning the strategies adopted by recruiters and the factors influencing their decision-making in the R&S process. To investigate this gap, we conducted a qualitative study with semi-structured interviews with ten recruiters who use social media in their processes. We identified that recruiters do not limit their information search to professional platforms such as LinkedIn, but also access personal-use networks such as Facebook and Instagram, aiming to use online information to evaluate candidates in a process known as cybervetting. Thus, the study contributes to the literature in two ways: first, by highlighting how different media are used to search for different candidates, following a logic of digital segmentation; second, by proposing the concept of biased cybervetting to describe an emerging practice characterized by the search for an “ideal candidate” on social media, based on R&S decisions shaped by idealizations and expectations about candidates’ posts.

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Published
2025-12-10
How to Cite
Ressetti Pinheiro Marques Vianna, F., Martinello Lins Pinheiro Vianna, R., Toczek, J., & Peinado, J. (2025). BIASED CYBERVETTING NO RECRUTAMENTO DIGITAL: ENTRE SEGMENTAÇÃO DE MÍDIAS E IDEALIZAÇÕES DE CANDIDATOS. Caderno De Administração, 33(2), 13-48. https://doi.org/10.4025/cadadm.v33i2.77610
Section
Articles