Events

Dr. Lan Luo
Associate Professor of Marketing
Marshall School of Business
University of Southern California

ABSTRACT

Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer’s fit for the job (i.e., whether a freelancer “looks the part” for the job), as inferred from profile pictures, can impact hiring outcomes on such platforms. Leveraging computer vision techniques and choice models, we analyze six-month data from Freelancer.com (63,014 completed jobs that received 2,042,198 applications from 160,014 freelancers) and find that, above and beyond demographics and beauty, freelancers who “look the part” are more likely to be hired. Interestingly, we do not find a strong correlation between “looking the part” and job performance. Supplementing our large-scale observational study with two choice experiments, we find that (i) the effect of perceived job fit is stronger when reputation systems are not sufficiently diagnostic to differentiate candidates and (ii) that by considering perceptions of job fit, participants are more likely to choose freelancers with fewer reviews, lower ratings, and/or without certifications. Last, we find that “platform recommendations” can only partially mitigate the unintended consequences of profile pictures, and recommending multiple freelancers can further increase the role of “looking the part.”