Algorithms and their Affordances: How Crowdworkers Manage Algorithmic Scores in Online Labour Markets

On online labour platforms, algorithmic scores are used as indicators of freelancers\u27 work quality and future performance. Recent studies underscore that, to achieve good scores and secure their presence on platforms, freelancers respond to algorithmic control in different ways. However, we argue, to fully understand how freelancers deal with algorithmic scores, we first need to investigate how they interpret scores and, more specifically, what scores can do for them, i.e., perceived algorithmic affordances and constraints. Our interviews and other qualitative data collected with knowledge intensive gig workers on a major platform allow us to explain how the perceived affordances of algorithms (i.e., barrier, individual visibility, self-extension, rule of the game) act as mechanisms that explain different behavioural and emotional responses over time. Our work contributes to the current debate on the positive and negative consequences of algorithmic work by portraying the fundamental role paid by the individual interpretation of algorithmic scores and by integrating the affordance perspective into our understanding of algorithmic work

A Qualitative Investigation of Unmet Information-Seeking Needs of Online Workers

This qualitative study investigates socialization to online labor platforms using the information-seeking framework introduced by Miller and Jablin’s (1991). As workers adapt to this new work arrangement, they experience ambiguity and uncertainty that triggers seeking out information. Interviews with 29 online workers reveals the unmet information-seeking needs experienced by these workers. The findings extend the theoretical framework of information-seeking to account for the affordances and limitations present in OLPs. Furthermore, our findings suggest practical implications for the design of online labor platforms

Understanding the impacts of gig economy platforms on freelancers’ work practices

Freelancing platforms have enabled opportunities for millions of knowledge workers worldwide to pursue a freelance career. Freelancing platforms are part of an emerging work model characterised by technology companies mediating work relationships through algorithms that manage, monitor, and evaluate work – the gig economy. Previous literature has studied freelance workers’ practices, for instance, how they go about getting work, cultivating their reputation, and managing their work. However, most of this research has been conducted prior to the emergence of freelancing platforms, leaving a gap in our understanding of how platforms impact freelancers’ work. This thesis comprises of three qualitative studies, engaging with views from a total of 476 freelancers, to understand the opportunities and challenges freelancing platforms introduce for their work practices. The first study explores how freelancers view online freelancing platforms through a qualitative analysis of discussions in four freelancing subforums. The findings suggests that platforms can enable opportunities to source clients, gain experience, and mitigate precarity while constraining control over their work choices, reputation, and client relationships. The second study focuses on understanding the impact of platforms on freelancers’ everyday work-life through a qualitative diary study followed by semi-structured interviews. Findings from this study illustrate how platform features and individual circumstances shape freelancers’ everyday life. Importantly platform features introduce new constraints on work availability, autonomy, and detachment. The last study builds from the previous two studies and literature recommendations to develop a design fiction that explored a model of online freelancing where platform features are designed to support (rather than constrain) freelancers’ work preferences. This design fiction is used as the basis for five focus groups, identifying novel areas for research and development to support freelancers’ autonomy, entrepreneurship, and peer support. This thesis makes contributions to knowledge, design, and policy. Firstly, it contributes novel empirical knowledge to the impacts freelancing platforms have had on freelance work by unpacking core challenges and opportunities. Secondly, it contributes design implications that move towards thinking about ‘worker-centred’ research interventions, platform configurations, and features to mitigate challenges stemming from platforms. Thirdly, it contributes policy implications to regulate and hold platforms accountable, rethink social institutions to better support freelancers, and legislate emerging technologies that manage work