How negative online information influences job application intention: a moderated mediation model of emotional reaction and perceived realism
Eden Samuel Parthiban, Snehal Chandra, Rishab ChauhanPurpose
In today’s digitally driven job market, negative online information has emerged as a critical factor influencing job seekers’ intentions to apply for job vacancies, especially among digitally active Millennials and Gen Z. This study aims to advance our understanding of negative online information’s impact by integrating media effects theory and cultivation theory.
Design/methodology/approach
The paper develops a moderated mediation model that incorporates emotional reaction and perceived realism as key mediators and moderators, respectively. The sample data was collected from 576 Indian respondents via stratified-convenience sampling.
Findings
Our results reveal that while increased exposure to negative online information directly enhances intentions to apply for job vacancies – potentially through motivated reasoning – its indirect effects through emotional reaction are significantly amplified when negative online information is perceived as highly realistic.
Originality/value
The findings challenge traditional assumptions of heightened emotional reactivity to negative content by demonstrating a desensitization effect over time, while simultaneously underscoring perceived realism’s catalytic role in strengthening the influence of emotions on job application decisions.