Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Abstract
This article evaluates the job quality of work in the remote gig economy. Such work consists of the remote provision of a wide variety of digital services mediated by online labour platforms. Focusing on workers in Southeast Asia and Sub-Saharan Africa, the article draws on semi-structured interviews in six countries ( N = 107) and a cross-regional survey ( N = 679) to detail the manner in which remote gig work is shaped by platform-based algorithmic control. Despite varying country contexts and types of work, we show that algorithmic control is central to the operation of online labour platforms. Algorithmic management techniques tend to offer workers high levels of flexibility, autonomy, task variety and complexity. However, these mechanisms of control can also result in low pay, social isolation, working unsocial and irregular hours, overwork, sleep deprivation and exhaustion.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Work Employment and Society
- Topic
- Digital Economy and Work Transformation
- Field
- Social Sciences
- Canadian institutions
- —
- Funders
- Economic and Social Research CouncilInternational Development Research CentreAlan Turing Institute
- Keywords
- Gig economyBusinessAutonomyControl (management)Computer scienceEconomicsMarket economyPolitical sciencePrecarityArtificial intelligenceLaw
- Has abstract in OpenAlex
- yes