Do Digital Jobs Need an Image Filter? Factors Contributing to Negative Attitudes

• URL: http://arxiv.org/abs/2309.12885v1
• Date: Fri, 22 Sep 2023 14:17:37 GMT
• Title: Do Digital Jobs Need an Image Filter? Factors Contributing to Negative Attitudes
• Authors: Paul H. P. Hanel, Gabriel Lins de Holanda Coelho, Jennifer Haase
• Abstract summary: We combined theories from both social psychology and information systems to investigate perceptions of digital jobs. Individuals in digital professions were perceived as less favorably and as less hard-working than those in matched established jobs. Digital jobs were also regarded as more threatening to societal values and less useful.
• Score: 3.441021278275805
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The rapid expansion of high-speed internet has led to the emergence of new digital jobs, such as digital influencers, fitness models, and adult models who share content on subscription-based social media platforms. Across two experiments involving 1,002 participants, we combined theories from both social psychology and information systems to investigate perceptions of digital jobs compared to matched established jobs, and predictors of attitudes toward digital jobs (e.g., symbolic threat, contact, perceived usefulness). We found that individuals in digital professions were perceived as less favorably and as less hard-working than those in matched established jobs. Digital jobs were also regarded as more threatening to societal values and less useful. The relation between job type and attitudes toward these jobs was partially mediated by contact with people working in these jobs, perceived usefulness, perception of hard-working, and symbolic threat. These effects were consistent across openness to new experiences, attitudes toward digitalization, political orientation, and age. Among the nine jobs examined, lecturers were perceived as the most favorable, while adult models were viewed least favorably. Overall, our findings demonstrate that integrating theories from social psychology and information systems can enhance our understanding of how attitudes are formed.

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