Social Media and Hiring: A Survey Experiment on Discrimination based on Online Social Class Cues

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Social Media and Hiring : A Survey Experiment on Discrimination based on Online Social Class Cues. / Galos, Diana-Roxana.

I: European Sociological Review, Bind 40, Nr. 1, 2024, s. 116-128.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Galos, D-R 2024, 'Social Media and Hiring: A Survey Experiment on Discrimination based on Online Social Class Cues', European Sociological Review, bind 40, nr. 1, s. 116-128. https://doi.org/10.1093/esr/jcad012

APA

Galos, D-R. (2024). Social Media and Hiring: A Survey Experiment on Discrimination based on Online Social Class Cues. European Sociological Review, 40(1), 116-128. https://doi.org/10.1093/esr/jcad012

Vancouver

Galos D-R. Social Media and Hiring: A Survey Experiment on Discrimination based on Online Social Class Cues. European Sociological Review. 2024;40(1):116-128. https://doi.org/10.1093/esr/jcad012

Author

Galos, Diana-Roxana. / Social Media and Hiring : A Survey Experiment on Discrimination based on Online Social Class Cues. I: European Sociological Review. 2024 ; Bind 40, Nr. 1. s. 116-128.

Bibtex

@article{895c2bdb7d2947069b02a2f17644c3cf,
title = "Social Media and Hiring: A Survey Experiment on Discrimination based on Online Social Class Cues",
abstract = "Discrimination based on social class is challenging to study, and therefore likely to be underappreciated due to its subtle nature. Social class is often difficult to gauge from traditional resumes, yet, the expansion of social networking platforms provides employers with an additional source of information. Given that many individuals have a social media presence today, employers can increasingly rely on additional information gleaned from such online platforms (e.g., Twitter, Instagram), which may alter hiring decisions. To study the role of social networking platforms vis-{\`a}-vis potential discrimination based on social class cues, I leverage an original online survey experiment in the United States. The aim of the investigation is (i) to measure the effect of cultural markers of social class expressed on social media profiles in a hypothetical hiring situation and (ii) to analyse potential channels that might explain class-based discrimination. I show that subjects favour the upper-class-signalling candidate over the lower-class-signalling candidate and that perceived competence and perceived warmth are two channels through which class-based discrimination may occur. The individual{\textquoteright}s online presence might not be part of the formal application process, yet it seems to shape inferences about individuals{\textquoteright} employability, competence, and warmth.",
author = "Diana-Roxana Galos",
year = "2024",
doi = "10.1093/esr/jcad012",
language = "English",
volume = "40",
pages = "116--128",
journal = "European Sociological Review",
issn = "0266-7215",
publisher = "Oxford University Press",
number = "1",

}

RIS

TY - JOUR

T1 - Social Media and Hiring

T2 - A Survey Experiment on Discrimination based on Online Social Class Cues

AU - Galos, Diana-Roxana

PY - 2024

Y1 - 2024

N2 - Discrimination based on social class is challenging to study, and therefore likely to be underappreciated due to its subtle nature. Social class is often difficult to gauge from traditional resumes, yet, the expansion of social networking platforms provides employers with an additional source of information. Given that many individuals have a social media presence today, employers can increasingly rely on additional information gleaned from such online platforms (e.g., Twitter, Instagram), which may alter hiring decisions. To study the role of social networking platforms vis-à-vis potential discrimination based on social class cues, I leverage an original online survey experiment in the United States. The aim of the investigation is (i) to measure the effect of cultural markers of social class expressed on social media profiles in a hypothetical hiring situation and (ii) to analyse potential channels that might explain class-based discrimination. I show that subjects favour the upper-class-signalling candidate over the lower-class-signalling candidate and that perceived competence and perceived warmth are two channels through which class-based discrimination may occur. The individual’s online presence might not be part of the formal application process, yet it seems to shape inferences about individuals’ employability, competence, and warmth.

AB - Discrimination based on social class is challenging to study, and therefore likely to be underappreciated due to its subtle nature. Social class is often difficult to gauge from traditional resumes, yet, the expansion of social networking platforms provides employers with an additional source of information. Given that many individuals have a social media presence today, employers can increasingly rely on additional information gleaned from such online platforms (e.g., Twitter, Instagram), which may alter hiring decisions. To study the role of social networking platforms vis-à-vis potential discrimination based on social class cues, I leverage an original online survey experiment in the United States. The aim of the investigation is (i) to measure the effect of cultural markers of social class expressed on social media profiles in a hypothetical hiring situation and (ii) to analyse potential channels that might explain class-based discrimination. I show that subjects favour the upper-class-signalling candidate over the lower-class-signalling candidate and that perceived competence and perceived warmth are two channels through which class-based discrimination may occur. The individual’s online presence might not be part of the formal application process, yet it seems to shape inferences about individuals’ employability, competence, and warmth.

U2 - 10.1093/esr/jcad012

DO - 10.1093/esr/jcad012

M3 - Journal article

VL - 40

SP - 116

EP - 128

JO - European Sociological Review

JF - European Sociological Review

SN - 0266-7215

IS - 1

ER -

ID: 377706204