"She's the communication expert": digital labor and the implications of datafied relational communication
In: Feminist media studies, Band 23, Heft 4, S. 1857-1871
ISSN: 1471-5902
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In: Feminist media studies, Band 23, Heft 4, S. 1857-1871
ISSN: 1471-5902
In: Media and Communication, Band 11, Heft 2, S. 319-329
Recalling the well-known strategy of "following the money" when investigating the underlying power structures and business models of legacy media, this article argues that studies of digital political economies can benefit instead from following the data. Combining perspectives from critical data studies and infrastructure research, we first discuss how direct money flows can be difficult to trace in digital ecosystems, creating a need for alternative analytical approaches for studying and scrutinising contemporary power configurations in digital societies. As a theoretical backdrop, we elaborate on the concept of infrastructural power and apply it in a walkthrough of critical data infrastructures. To illustrate the efficacy of this strategy, we provide perspectives and examples from the political economies of internet infrastructures in Northern Europe and discuss how control over data is translated into economic profit and societal power. In doing so, we argue that increased attention to data infrastructures is needed to advance both critical data and infrastructure studies, improve digital market monitoring, and ground future regulation and policy.
In: Flensburg , S & Lai , S S 2022 , ' Datafied Mobile Markets : Measuring control over apps, data accesses, and third-party services ' , Mobile Media & Communication , vol. 10 , no. 1 , pp. 136-155 . https://doi.org/10.1177/20501579211039066
The increasing use of mobile applications (apps) has turned data harvesting, mining, and distribution into commercial as well as functional backbones of mobile communication. Acknowledging that contemporary markets for mobile communication are increasingly datafied, this article maps and discusses how infrastructures for mobile datafication are controlled. It combines perspectives from critical data studies, political economy of communication, and app studies in an empirical analysis of the 500 most downloaded apps in the Google Play store (November 2020). Focusing on control over and ownership in the three interdependent markets for apps, data accesses, and third-party services, the analysis documents, confirms, and explains established power structures and sheds light on the mobile datafication processes that frame the use of apps and commodification of users. As such, it provides an empirical baseline for future monitoring, and ultimately regulation, of mobile app ecosystems.
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The mobile market is frequently described as an ecosystem where powerful companies generate value from continuously harvesting and distributing data. In this article, we advance the ecological metaphor through both theoretical conceptualizations and empirical explorations of the contemporary app ecosystem. We thereby contribute to the emergent field of app studies by critically scrutinizing the political economy of mobile communication. The article identifies the prime infrastructural resources that ground app-based communication (devices, operating systems, app stores, apps, third-party services, and data accesses) and their ownership structures to discuss how power is obtained, exercised, and amplified in the app ecosystem. To illustrate the value of the theoretical approach, we provide a critical asset analysis of Google LLC (Alphabet, Inc.) and discuss its position as an invasive species in the app ecosystem.
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In: Lai , S S & Flensburg , S 2020 , ' A proxy for privacy : Uncovering the surveillance ecology of mobile apps ' , Big Data & Society , vol. 7 , no. 2 , pp. 1-20 . https://doi.org/10.1177/2053951720942543
The article develops a methodological and empirical approach for gauging the ways Big Data can be collected and distributed through mobile apps. This approach focuses on the infrastructural components that condition the disclosure of smartphone users' data – namely the permissions that apps request and the third-party corporations they work with. We explore the surveillance ecology of mobile apps and thereby the privacy implications of everyday smartphone use through three analytical perspectives: The first focuses on the 'appscapes' of individual smartphone users and investigates the consequences of which and how many mobile apps users download on their phones; the second compares different types of apps in order to study the app ecology and the relationships between app and third-party service providers; and the third focuses on a particular app category and discusses the functional as well as the commercial incentives for permissions and third-party collaborations. Thereby, the article advances an interdisciplinary dialogue between critical data studies, political economy and app studies, and pushes an empirical and critical perspective on mobile communication, app ecologies and data economies.
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In: New media & society: an international and interdisciplinary forum for the examination of the social dynamics of media and information change, Band 22, Heft 11, S. 1957-1975
ISSN: 1461-7315
Today, websites operate in a modular fashion, outsourcing the surveillance and datafication of users to outside companies, along with security functions, video hosting, and so on. These third-party services (TPSs) function as key enablers of the web, with respect to functionality and the monetization of user activity. Departing from critical data studies and media systems analysis, the article contributes to understanding TPS infrastructures by placing these in a wider context of markets, cultural differences and regulation. Through a study of top-150 websites from the 28 EU countries, the article demonstrates how the use of TPSs varies between different parts of the region and different types of sites, and traces this variation to issues of language, regulatory traditions and differences in online businesses. These insights may inform current debates about surveillance capitalism and big data, by linking different forms of commodification of users' behavioural data to broader social and cultural structures.