Le capitalisme de la surveillance

Zuboff, Shoshana; Chalier, Jonathan

doi:10.3917/espri.1905.0063

Cited by 27 publications

(14 citation statements)

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“…While this field is growing exponentially, scholarly work from a wide range of disciplines like law, mathematics, and business (e.g. Ladley, 2019; O’Neil, 2016; Zuboff, 2019) and with diverse geographical foci (e.g. Khatri and Brown, 2010; Singh, 2021; Tupasela et al, 2020; van Dijck et al, 2018), has not yet been comparatively and reflectively articulated.…”

Section: Seeking the Social In Data Governancementioning

confidence: 99%

Social data governance: From reflective practices to comparative synthesis

Liu

Wang

2022

Big Data & Society

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This special theme brings together reflections and deliberations regarding the design, implementation, and development of data governance. By addressing “social data governance” as the keyword of the special theme, we aim to further the discussion on a contextual understanding of both the governing foundations and effects of data, dataism, and datafication in different societies. Such a discussion reminds us to pay particular attention to—and thus account for—the social dynamics that underpin and contextualize the design, operation, and promotion of quantified governing mechanisms in which information on social behaviors is collected, datafied, manipulated, and represented. Essentially, the social dynamics of data governance have existed for a long time and in many forms, ranging from credit bureaus’ scrutiny, evaluation, and labeling of their customers to internet-enabled massive data collection and scoring systems used by governments, and to automated contact tracing techniques as a centerpiece of dataveillance and infection control amid the COVID-19 pandemic. Nevertheless, scholarly work from a wide range of disciplines like law, mathematics, and business and with diverse geographical foci has not yet been comparatively and reflectively articulated. Being rich and diverse, the special theme advances such a requisite understanding of the status and relevance of social dynamics of data governance mechanisms based on a wide range of empirical cases around the globe. To scrutinize the social dynamics helps illuminate and contrast divergent manifestations of data governance and their underlying mechanisms.

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Section: Seeking the Social In Data Governancementioning

confidence: 99%

Social data governance: From reflective practices to comparative synthesis

Liu

Wang

2022

Big Data & Society

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“…Sophisticated computational methods aimed at predicting and manipulating user behavior contribute to instill great value in the user data that ultimately fuels these processes of production and marketing. Explored under concepts such as ‘informational capitalism’ (Fuchs, 2010), ‘communicative capitalism’ (Dean, 2005), ‘platform capitalism’ (Srnicek, 2017), ‘surveillance capitalism’ (Foster and McChesney, 2014; Zuboff and Chalier, 2019), and ‘digital capitalism’ (Sadowski, 2020), the literature on the relationship between data and capitalism now describes the contemporary era as a period of capitalism in which data have become the defining commodity, and the extraction of user data has become a central capitalist aim.…”

Section: The Changing Business Of Public Discoursementioning

confidence: 99%

“…Today, a growing literature argues that data having become the defining commodity of accumulation: a condition variably termed ‘digital’, ‘surveillance’, or ‘platform’ capitalism (Dean, 2005; Fuchs, 2010; Sadowski, 2019; Srnicek, 2017; Zuboff and Chalier, 2019). In exploring the political economic relationship between data and contemporary capitalism, this literature casts social media as part of a transition in which digital data have become the central object of accumulation (Van Dijck, 2014).…”

Section: Introductionmentioning

confidence: 99%

Tweeting ourselves to death: the cultural logic of digital capitalism

Törnberg¹,

Uitermark

2021

Media, Culture & Society

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Media scholarship has long argued that public discourse is a function of the architecture of the media by which it is carried. Media architecture is, as political economists have argued, in turn shaped by the capitalist regime of accumulation within which the media operate. This paper draws together these two strands of literature to ask: as the accumulation of data is coming to define contemporary capitalism, what cultural logic does this produce? The paper argues that, as media are shaped around the extracting user data, they become organized around personhood and the extension of commodification deeper into our sense of self. The lifestyle fragmentation and segmentation engendered by new media technologies carry over into public discourse, shaping a public, and political life defined by identity and difference. If, as Neil Postman suggested, a society’s way of knowing reflects its media technology, the emerging epistemology of the social media society is truth as identity, as our very ways of knowing are reduced to expressions of who we are.

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“…In 2001, surveillance capitalism emerged as a new business model, when a nancial breakdown occurred due to the dot-com bustle and the loss of investor con dence in edgling companies (Zuboff, 2015). The behavioural surplus can be considered surveillance assets, which are critical raw materials for surveillance customers for the sake of surveillance revenues and generating surveillance capital (Zuboff, 2019). Weber (1978) states that technology cannot be isolated from economics and society; instead, it is called "economic orientation."…”

Section: Introductionmentioning

confidence: 99%

Does surveillance capitalism trigger the financial performance of information technology firms? A reflection from FAANG business models

Biju,

Aparna,

Treesa

et al. 2024

Digit Finance

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This paper maps the idea of surveillance capitalism of FAANG (Facebook, Apple, Amazon, Net ix, and Google), which have capitalised on the behavioural surplus accumulated in their databases and how they utilise this data for future business models. The fundamental research question is how the data-driven models trigger these companies' future nancial performance and ensure sustainable growth. A triangulation approach was used to observe the world of surveillance capitalism through multiple lenses. The relative valuation models were used to substantiate the exponential growth of FAANG companies from 2006 to 2020. Financial indicators like the EPS, ROE, Market Capitalization and ROA were used to capture the growth of FAANG. Our undertaking shows that FAANG earns substantial revenue through datadriven business models catalysing the present companies' growth. This paper also illuminates the nudging effect created by behaviour-centric advertisements, which results in the brand value appreciation of FAANG. The article can be seen as a novel attempt as it empirically proves that FAANG has grown faster due to the power of surveillance capitalism. JEL Code: A130; O330: O380: K420 material (Zuboff, 2019). The companies are thus trading on the user's behavioural data, and the customers' privacy is at stake. Privacy is widely considered an inalienable right that contributes to the foundation of a liberal egalitarian society.Still, these data-driven companies often undervalue the con dentiality and security of the users (Allen, 1999). The business models of FAANG represent a new form of accumulation of behavioural data. Google is the pioneer; other companies like Facebook, Apple, Microsoft, Amazon, Alibaba, and numerous rms have also emerged as key players in surveillance capitalism (Zuboff, 2019b). Mckinsey's ranking report shows FAANG has evolved into today's tech giant and holds top positions among companies based on market capitalisation [2]. Every other tech company that claims to offer personalised services in health, education, retail, and so on are manipulating our behavioural data and exerting some power on the users in the future.The growth potential of this surveillance capitalism is more in uential than managerial capitalism in all senses (Zuboff, 2015). Google's chief economist, Hal Varian (2014), supports this view and asserts that digital technologies can make transactions and interactions observable and controllable in real-time, ultimately lowering transaction costs and production costs, which might be the reason for the dominance of data governance. Furthermore, digitalisation also enables businesses to develop new markets and business models, helps rms expand the scope of their activities, and

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Le capitalisme de la surveillance

Cited by 27 publications

References 0 publications

Social data governance: From reflective practices to comparative synthesis

Social data governance: From reflective practices to comparative synthesis

Tweeting ourselves to death: the cultural logic of digital capitalism

Does surveillance capitalism trigger the financial performance of information technology firms? A reflection from FAANG business models

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