Does More Informative Job Title Lead to More Successful Hirings? A Randomized Field Experiment on an Online Labor Market Platform

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Abstract
Online labor market platforms have rapidly developed over the past few years. The job title, as a crucial piece of observable information, research about its impact on job-related behaviors is lack. In this study, we selected one of the largest blue-collar online labor market platforms in China, constructing a large-scale field experiment on job titles with different degrees of information disclosure depth and breadth generated by the proposed model based on Large language model (LLM), involving more than 50,000 job listings and more than 800,000 users in the platform, to investigate whether the information disclosed in the job title affects the likelihood of the job being viewed and successfully matched. Findings claim the compared with the central route (processing depth information), peripheral route information processing (processing breadth information) is the dominant method on online labor market platforms. Additionally, sufficient processing of breadth information significantly impacts subsequent behaviors.

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