Income Security in the On-Demand Economy: Findings and Policy Lessons from a Survey of Crowdworkers

By Janine Berg. 2016

378 citations recorded by the source corpus.

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Citations in the corpus

CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation (2022, neutral): “Moreover, requesters get to choose whether the work is up to their standards before choosing whether to pay for it, even though rejections are often caused by unclear instructions and the very lack of feedback channels they refuse to provide [7].”
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk (2017, methodology): “ficult for workers to learn about unfair requesters [2,38,60], while platforms rarely offer protection against wage theft or provide mechanisms for workers to dispute task rejections and poor ratings [4,47]. Platforms’ characteristics such as pay-perwork [2] and treating workers as contractors [64] ”
Flexibility capital and flexibility justice in smart energy systems (2019, background): “This process has unfolded already in the labour domain as has been widely researched (see Berg, 2016; Graham et al., 2017) but not clarified through the lenses of flexibility capital or flexibility justice.”
Conceptualizing the Gig Economy and Its Regulatory Problems (2020, background): “And, especially on platforms that organize digital services performed remotely (such as data entry, programming, translation, etc.), gig workers spend a lot of unpaid time searching for gigs (Berg, 2016; Wood et al., 2019).”
Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics (2018, background): “On MTurk, American and Indian crowdworkers still constitute the vast majority of workers, together accounting for over 80% of the worker population on MTurk.5 Consistent with earlier studies, Berg (2015) found that Indian and American workers on MTurk were young and well-educated.”
Good Gig, Bad Gig: Autonomy and Algorithmic Control in the Global Gig Economy (2018, unknown): “Berg (2016) finds low pay to be a problem, and that major contributors to low pay are the high ratio of unpaid work to paid labour and a lack of available work.”
Hidden transcripts of the gig economy: labour agency and the new art of resistance among African gig workers (2019, background): “First, a growing body of work exists on the well-being of gig economy workers, but mainly concerning high-income countries (Berg, 2016; Huws et al., 2016) – though recent interventions by Wood et al. (2019) are welcome additions to the gig economy debates from low- and middle-income countries.”
The Future of Work in the ‘Sharing Economy’. Market Efficiency and Equitable Opportunities or Unfair Precarisation? (2016, unknown): “Second, in both types of digital labour markets work is performed under even less standard forms than ‘traditional’ NSW, which makes them an object of debate from the perspective of inequality, precarisation, and erosion of labour rights (Berg, 2016; Cherry, 2011, 2016; Kuttner, 2013).”
Between a rock and a hard place: Freedom, flexibility, precarity and vulnerability in the gig economy in Africa (2020, unknown): “In their survey of over 1000 workers on Amazon Mechanical Turk and Crowdworker, Berg (2016) found that workers place great value on flexibility.”
Labour process theory and the gig economy (2018, background): “Nevertheless, the many reports that have been recently produced by organizations, think tanks and academia (e.g. Balaram et al., 2017; Berg, 2016) account for what seems to be a small but growing picture.”
Employment and working conditions of selected types of platform work (2018, methodology): “In addition, time spent searching for or waiting on tasks is usually uncompensated (Berg, 2016).”
Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation (2022, background): “For example, Berg [8] and Posch et al. [29] have asked questions about gender, age, and education level, among others.”
Über-Alienated: Powerless and Alone in the Gig Economy (2021, background): “Online crowdwork, in contrast, is performed remotely, ranging from skilled professional freelancing services, (e.g. graphic design, computer programing etc.) to less skilled ‘microtasks’ such as data entry and image classification (Berg, 2016).”