Datafication of social life affects what society regards as knowledge. Jasanoff’s regimes of sight framework provides three ideal-type models of authorised knowing in environmental data practice. This paper applies Jasanoff's framework for analysing intelligence practice through an exploratory empirical study of crime and intelligence practitioners in a selection of police services in Australia, New Zealand, Canada and the United States. The paper argues that the ‘view from somewhere’ captures the essence of existing police intelligence practices in the four countries (...) but the ‘view from nowhere’ is emerging as a possible future for police intelligence – an approach promoted by technology companies and supported mainly by police leaders and managers. The paper investigates the challenges and limits of a shift by police from VFS to VFN in the production of intelligence; the challenges are primarily political, which threaten the dominance of police contextual knowledge over ‘scientific’ knowledge. These political challenges also have symbolic and material implications. The paper concludes that, because of these challenges, a complete shift from VFS to VFN is not likely to happen. At best the two models might co-exist with the latter subordinate to the imperatives of the former, resulting in further tension between sworn officers and civilians, organisational inertia, as well as technologies that may be under-utilised or abandoned. (shrink)

This article shows how activists in the open data movement re-articulate notions of democracy, participation, and journalism by applying practices and values from open source culture to the creation and use of data. Focusing on the Open Knowledge Foundation Germany and drawing from a combination of interviews and content analysis, it argues that this process leads activists to develop new rationalities around datafication that can support the agency of datafied publics. Three modulations of open source are identified: First, by (...) regarding data as a prerequisite for generating knowledge, activists transform the sharing of source code to include the sharing of raw data. Sharing raw data should break the interpretative monopoly of governments and would allow people to make their own interpretation of data about public issues. Second, activists connect this idea to an open and flexible form of representative democracy by applying the open source model of participation to political participation. Third, activists acknowledge that intermediaries are necessary to make raw data accessible to the public. This leads them to an interest in transforming journalism to become an intermediary in this sense. At the same time, they try to act as intermediaries themselves and develop civic technologies to put their ideas into practice. The article concludes with suggesting that the practices and ideas of open data activists are relevant because they illustrate the connection between datafication and open source culture and help to understand how datafication might support the agency of publics and actors outside big government and big business. (shrink)

A recent interpretation of artificial intelligence (AI) (Floridi 2013, 2022) suggests that the implementation of AI demands the investigation of the binding conditions that make it possible to build and integrate artifacts into our lived world. Such artifacts can successfully interact with the world because our environment has been designed to be compatible with intelligent machines (such as robots). As the use of AI becomes ubiquitous in society, possibly leading to the formation of increasingly intelligent bio-technological unions, there will likely (...) be a coexistence of a plethora of micro-environments wrapped and tailored around humans and basic robots. The key element of this pervasive process will be the capacity to integrate biological realms in an infosphere suitable for the implementation of AI technologies. This process will require extensive datafication. This is because data is the basis of the logical-mathematical codes and models that drive and guide AI. This process will have huge consequences on workplaces, on workers, as well as on the decision-making processes required for the functioning of future societies. In this paper we will offer a comprehensive reflection on the moral and social implications of datafication as well as a set of considerations about its desirability, which will be informed by the following insights: (1) full protection of privacy may become structurally impossible, thus leading to undesirable forms of political and social control; (2) worker’s freedom may be reduced; (3) human creativity, imagination, and even divergence from AI logic might be channeled and possibly discouraged; (4) there will likely be a push towards efficiency and instrumental reason, which will become preeminent in production lines as well as in society. (shrink)

Like other parts of the social system, education is becoming an information-driven venture: data technologies pervade all levels of the system. This datafication of education seems to take place alongside a general turn to learning that Gert Biesta has called learnification: a progressively singular focus on the manipulable features of individual learning in education. Given rapidly rising levels of datafication, it seems timely to take up Luhmann and Schorr’s contention that education entails a technology deficit and discuss (...) class='Hi'>datafication as reflection issue in the system of education. Against their argument that human learning is not amenable to a technology, I develop the counter-argument that data technologies are replacing human learning outright with data at the level of organisation. Data thus present a concretely digital form of what Raf Vanderstraeten has called education as an ersatz order. In a data-driven form of organising education, human dimensions of learning become secondary to a systemic dimension: making learning visible as data and so susceptible to databased manipulation. The text treats school-wide positive behaviour support interventions as an evidence-based exemplar of this trend towards datafication in the system of education. (shrink)

Although the ‘metaverse’ is still the feverish pipedream of tech companies and venture capitalists, it is also a powerful imaginary for channelling enormous resources towards deepening and extending ongoing processes of digitalization and datafication. It is thus likely that an increasing amount of human activity – both professional as well as leisure-related – will take place in metaversal spaces, and that the paradigm of ‘Big Data’ is about to be expanded with massive amounts of new and varied or multimodal (...) data that capture even more (corporeal, sensorial, spatial, and temporal) information produced by and about people as well as their interactions as these unfold in (mixed) spaces over time. Much like the rise of big data, the emergence of metaversal data gives rise to important tensions and issues. From the perspective of critical data studies, media studies, and science and technology studies, this paper spotlights the role of data obtained about, in, and through metaverse technologies and environments as well as how this can be understood as both an intensification and extension of the datafication of social life, the quantification of research methodologies, and the exacerbation of social inequality. We discuss these issues through a series of six provocations that each address a distinct tension between metaverse data, the production of knowledge, research methodologies, and various social issues that are central to the datafication of contemporary societies. (shrink)

Smart cities are a seminal example of data-driven governance that relies on the efficient and networked use of big data in managing urban life to achieve sustainable economic growth. Datafication is considered commodifying various personal information and goods and different aspects of our urban milieu. There is a concern about the commodification-smart city nexus among communication and urban studies scholars concerning its effects on public governance and social segregation, but limited attention is given to it in the ethical literature (...) that targets implications of datafication on privacy. This paper provides an analytical framework to explore ethical considerations for commodification in smart urban systems. The goal is to contribute to incorporating justice-related considerations into the decision-making processes of urban policy development. This paper first revisits the commodification concept and its features. This is followed by a discussion of how datafication can be considered the underlying process of data-driven urban solutions that might exacerbate commodifying processes. Later, different types of commodification are discussed using smart street lights as a generic case. Lastly, different ethical perspectives are presented to discuss the basis of the wrong of commodification in the case of smart city design, along with suggestions stemming from concern over social equality. (shrink)

This study maps the evolution of research themes on datafication, analyzing trends, key authors, interdisciplinary collaborations, and emerging topics from 1994 to 2023. The analysis reveals a notable increase in publication volume, particularly from 2014 onwards, reflecting advancements in digital technologies and heightened interest in data-driven research. A significant surge occurred during the COVID-19 pandemic, with 26.10% of total publications in 2022 and 30.52% in 2023 alone. Thematic clusters identified through keyword mapping include Social Media and Privacy, Artificial Intelligence (...) and Machine Learning, Human Dimensions, and Infrastructure and Trust, highlighting diverse research foci. Emerging discussions on data justice and inequality reflect growing attention to the ethical and socio-political implications of datafication. The study also examines the types of documents and subject areas, revealing the dominance of peer-reviewed journal articles (71.41%) and a strong representation of social sciences (46.93%), computer science (14.75%), and arts and humanities (11.57%). Interdisciplinary connections underscore the broad impact of datafication across technology, healthcare, education, and media studies. This research offers insights into the dynamic nature of datafication, pointing to the need for further interdisciplinary collaboration, especially in addressing societal and ethical concerns such as data governance and digital inequality. Future research directions should focus on the human dimensions of datafication, data literacy, and the development of robust data governance frameworks to mitigate potential inequalities and power imbalances in a rapidly data-driven world. (shrink)

The proliferation of big data analytics in criminal justice suggests that there are positive frames and imaginaries legitimising them and depicting them as the panacea for efficient crime control. Criminological and criminal justice scholarship has paid insufficient attention to these frames and their accompanying narratives. To address the gap created by the lack of theoretical and empirical insight in this area, this article draws on a study that systematically reviewed and compared multidisciplinary academic abstracts on the data-driven tools now shaping (...) decision-making across several justice systems. Using insights distilled from the study, the article proposes three frames for understanding how the technologies are portrayed. Inherent in the frames are a set of narratives emphasising their ostensible status as vital crime control mechanisms. These narratives obfuscate the harms of data-driven technologies and evince idealistic imaginaries of their capabilities. The narratives are bolstered by unequal structural arrangements, specifically the unevenly distributed digital capital with which some are empowered to participate in technology development for criminal justice application and other forms of penal governance. In unravelling these issues, the article advances current understanding of the dynamics that sustain the depiction of data-driven technologies as prime crime prevention and law enforcement tools. (shrink)

The collection and circulation of data is now a central element of increasingly more sectors of contemporary capitalism. This article analyses data as a form of capital that is distinct from, but has its roots in, economic capital. Data collection is driven by the perpetual cycle of capital accumulation, which in turn drives capital to construct and rely upon a universe in which everything is made of data. The imperative to capture all data, from all sources, by any means possible (...) influences many key decisions about business models, political governance, and technological development. This article argues that many common practices of data accumulation should actually be understood in terms of data extraction, wherein data is taken with little regard for consent and compensation. By understanding data as a form capital, we can better analyse the meaning, practices, and implications of datafication as a political economic regime. (shrink)

This article illustrates how racial capitalism can enhance understandings of data, capital, and inequality through an in-depth study of digital platforms used for intervening in gender-based violence. Specifically, we examine an emergent sociotechnical strategy that uses software platforms and artificial intelligence chatbots to offer users emergency assistance, education, and a means to report and build evidence against perpetrators. Our analysis details how two reporting apps construct data to support institutionally legible narratives of violence, highlighting overlooked racialised dimensions of the data (...) capital generated through their use. We draw attention to how they reinforce property relations built on extraction and ownership, capital accumulation that reinforces benefits derived through data property relations and ownership, and the commodification of diversity and inclusion. Recognising these patterns are not unique to anti-violence apps, we reflect on how this example aids in understanding how racial capitalism becomes a constitutive element of digital platforms, which more generally extract information from users, rely on complex financial partnerships, and often sustain problematic relationships with the criminal legal system. We conclude with a discussion of how racial capitalism can advance scholarship at the intersections of data and power. (shrink)

Amidst ongoing technological and social change, this article explores the implications for critical education that result from a data-driven model of digital governance. The article argues that traditional notions of critique which rely upon the deconstruction and analysis of texts are increasingly redundant in the age of datafication, where the production of information is automated and hidden. The article explains the concept of the ‘educative subject’ within the liberal education tradition, with specific focus on the role of critique and (...) reflexivity in their becoming. It explores how the logics and practices of datafication and automation pose unprecedented challenges to the educative subject, examining three features in particular: the creation of data subjects; the rise of correlationalism; and the move from representation to operationalisation. The article concludes by outlining a research agenda to address the existential challenges posed by data education. (shrink)

Data do not speak for themselves. Data must be narrated—put to work in particular contexts, sunk into narratives that give them shape and meaning, and mobilized as part of broader processes of interpretation and meaning-making. We examine these processes through the lens of ethnographic practice and, in particular, ethnography’s attention to narrative processes. We draw on a particular case in which digital data must be animated and narrated by different groups in order to examine broader questions of how we might (...) come to understand data ethnographically. (shrink)

This article explores datafication as a speculative discourse that fundamentally and instrumentally misunderstands data, not as a representational system, but as an ontology. This analysis of datafication takes a semiotic and media-archaeological approach to datafication, understanding it as an imaginary media system, and the article looks to supplementary discourses in data visualization and big data to clarify and expand an understanding of datafication as a prescriptive and speculative idea. This critique is sharpened through the exploration of (...) a detailed study of the early visualizations and unpublished fictions of W. E. B. Du Bois, whose imagined technology of the “megascope” gives a remarkable blueprint for contemporary discourses in data visualization and data science. Du Bois’s liberatory perspective is contrasted to a more paranoid example coming from the self-documented delusional system of Daniel Paul Schreber, who provides a much different vision of a totalizing media system in the form of an Aufschreibesysteme, which seems to presage another side of datafication as a surveillance system. Taken together, datafication, the megascope, and the Aufschreibesysteme work as three speculative media that imagine themselves as different instances or visions of a totalizing media system, a notion that has become especially significant in the technological, cultural, and economic systems of the twenty-first century. (shrink)

Widespread popular discourse, at the time of writing, is centring on the capabilities of AI technologies, among others, in utilising the readily available mass of data to augment claimed educational problems. These positions often elide the unobjective nature of algorithms and the socio-politically infused assemblages of data available, situated within the neoliberalist scientism dominating educational policy discourse. The simplicity with which datafication treats education has led to a global culture of data-driven techno-rationality that affords ultra-rapid forms of free-floating control (...) settled on an ideology of dataism. Dataism rests on the assumption that sociality and subjectification can be reduced to quantifiable data whereby the student rather than being treated as a subject comes to be treated as data doppelganger. The injustices inherent in datafication and its associated epistemes ignore hidden neoliberal inequalities and maintain the insidious coloniality inherent in advanced capitalism, while simultaneously fuelling the rapid and cyclical stripping of purpose from education itself. There is a need to problematise the hidden logics of coloniality that are both maintained and reproduced within the datafication agenda. The current article draws on decolonial theory to animate the logics of datafication through a Deleuzian reading, situated within the learnification of neoliberal education. (shrink)

The goal of this article is twofold. First, it aims at sketching the outlines of material hermeneutics as a three-level analysis of technological artefacts. In the first section, we introduce Erwin Panofsky’s three levels of interpretation of an artwork, and we propose to import this approach in the field of philosophy of technology. Second, the rest of the article focuses on the third level, with a specific attention towards big data and algorithms of artificial intelligence. The thesis is that these (...) new technologies are not only radically transforming our interactions with the world, or our modes of production and consumption, but also our worldview. In the second section, we rely on Panofsky’s Gothic Architecture and Scholasticism to describe the Scholastic “mental habit” or worldview and its principles. In the third section, we confront this worldview with the mechanistic and informationistic worldviews. Our contribution consists in arguing that (1) despite the differences, the Scholastic, mechanistic, and informationistic worldviews are part of the same logical and causal order that dominated Western epistemology, and (2) today we are facing the appearance of a new worldview that we call “data worldview”. Examples from design, architecture, and visualization of knowledge will be set all along the article. (shrink)

The administrative reform of the datafied public administration places great emphasis on the classification, control, and prediction of citizen behavior and therefore has the potential to significantly impact citizen–state relations. There is a growing body of literature on data-oriented activism which aims to resist and counteract existing harmful data practices. However, little is known about the processes, policies, and political-economic structures that make datafication possible. There is a distinct research gap on situated and context-specific empirical research, which critically interrogates (...) the premises, interests, and agendas of data-driven public administration and how stakeholders can impact them. This paper therefore studies the conditions of participation in public administration datafication. It asks the overall research question of how citizens are problematized and included in policy and practitioner discourse in the datafication of public administration. The paper takes Norway as its case and applies Cardullo and Kitchin’s scaffold of smart citizen participation at the system level. It makes use of a unique empirical insight into the field, consisting of a survey, interviews, and an extensive document analysis. Unexpectedly, we find that citizens and civil society are rarely engaged in this administrative reform. Instead, we identify a paternalistic, top-down, technocratic approach where the context, values, and agendas of datafication are obscured from the citizen. (shrink)

In 2020, the European Union announced the award of the contract for the biometric part of the new database for border control, the Entry Exit System, to two companies: IDEMIA and Sopra Steria. Both companies had been previously involved in the development of databases for border and migration management. While there has been a growing amount of publicly available documents that show what kind of technologies are being implemented, for how much money, and by whom, there has been limited engagement (...) with digital methods in this field. Moreover, critical border and security scholarship has largely focused on qualitative and ethnographic methods. Building on a data feminist approach, we propose a transdisciplinary methodology that goes beyond binaries of qualitative/quantitative and opacity/transparency, examines power asymmetries and makes the labour of coding visible. Empirically, we build and analyse a dataset of the contracts awarded by two European Union agencies key to its border management policies – the European Agency for Large-Scale Information Systems (eu-LISA) and the European Border and Coast Guard Agency (Frontex). We supplement the digital analysis and visualisation of networks of companies with close reading of tender documents. In so doing, we show how a transdisciplinary methodology can be a device for making datafication ‘intelligible’ at the European Union borders. (shrink)

Cities, such as industry or the universities, are immersed in a process of digital transformation generated by the possibility and technological convergence of the Internet of Things, Big Data and Artificial Intelligence and its consequences: hyperconnectivity, datafication and algorithmization. A process of transformation towards what has come to be called as Smart Cities. The aim of this paper is to show the impacts and consequences of digital connectivity, algorithmization and the datafication of urban digital society to outline possible (...) ways of resolving the underlying moral conflicts. (shrink)

In this paper, we draw on Foucault's and Deleuze's theorisations of discipline and control, respectively, to understand a teacher accountability system in the US state of Texas: the Texas Teacher Evaluation and Support System (hereafter, T-TESS). Specifically, we focus on the interplay of physical and virtual modes of governance – which we develop here as physical–virtual hybridity – and the techniques that make these physical and virtual domains compatible via language interoperability, with T-TESS deployed as a representative empirical case to (...) show how such technologies work to govern teacher subjectivity. First, in-person appraiser meetings and observations re-code teachers’ linguistic behaviours, so their physical bodies and practices can become legible to and interoperable with the hybrid T-TESS system. This avoids any possible syntax errors between the linguistic expression of physical teacher speech and the digital coding language of T-TESS. Second, these digital bodies of data can now be viewed as proxies for the physical teacher body in the classroom, allowing the constant modulation in physical space (teacher bodies) and digital space (bodies of data). This is the physical–virtual hybridity of T-TESS, whereby discipline and control work symbiotically to govern both the physical and the digital expressions of teachers and their teaching. In this way, the disciplining of teachers’ language has profound effects on teachers’ bodies, both corporeal and digital. (shrink)

In this paper I argue that there is an urgent need for more empirical research into everyday experiences of living with datafication, something that has not been prioritised in the emerging field of data studies to date. As a result of this absence, the knowledge produced within data studies is not as aligned to the aims of data activism as it might be. Data activism seeks to challenge existing, unequal data power relations and to mobilise data in order to (...) enhance social justice, yet data studies has focused primarily on identifying the former and not on imagining the latter. To build a picture of what more just conditions of datafication might look like, I argue that it is important to take account of everyday experiences of datafication, of what people themselves say would enable them to live better with data and would constitute more just data arrangements, based on their experiences. I explore two possible approaches to this endeavour, both of which suggest the need for a vocabulary of emotions in researching everyday living with data. (shrink)

In recent years, data-driven approaches to chronic pain care have increased dramatically. However, people living with chronic pain are ambivalent about datafication practices. Drawing on in-depth interviews with individuals living with chronic pain, I discuss and analyze this ambivalence. On the one hand, participants imbibe the promissory rhetoric of data as that which may organize and control the body in pain. On the other hand, they dismiss and critique the type of data collected. This micro-level analysis of the pain (...) tracking experience illuminates a tension between datafication and chronic pain. Datafication demands that the patient relay information about their body that is free of ambiguity. However, chronic pain is ambiguous and full of paradox. This article illuminates the emotional chasm between datafication enthusiasts and chronic pain patients who track their pain and suggests that such enthusiasm may lead to bad faith. (shrink)

In this article, we address the case of self-tracking as a practice in which two meaningful backgrounds (physical world and technological infrastructure) play an important role as the spatial dimension of human practices. Using a (post)phenomenological approach, we show how quantification multiplies backgrounds, while at the same time generating data about the user. As a result, we can no longer speak of a unified background of human activity, but of multiple dimensions of this background, which, additionally, is perceived as having (...) no pivotal role in the process, often being hidden, situated beyond human consciousness, or taken for granted. Consequently, the phenomenological experience of the background turns into a hermeneutic practice focused on the interpretation of representations and descriptions. By adopting a (post)phenomenological approach, we show the problems and limitations of quantification of human activities occurring in self-tracking and the theoretical problems associated with the scheme of human-technology relations. (shrink)

There is an abundance of enthusiasm and optimism about how governments at all levels can make use of big data, algorithms and artificial intelligence. There is also growing concern about the risks that come with these new systems. This article makes the case for greater government transparency and accountability about uses of big data through a Government of Canada qualitative research case study. Adapting a method from critical cartographers, I employ counter-mapping to map government big data practices and internal discussions (...) of risk and challenge. I do so by drawing on interviews and freedom of information requests. The analysis reveals that there are more concerns and risks than often publicly discussed and that there are significant areas of silence that need greater attention. The article underlines the need for our democratic systems to respond to our new datafied contexts by ensuring that our institutions make changes to better protect citizen rights, uphold democratic principles and ensure means for citizen intervention. (shrink)

Building on conceptual insights from the history and sociology of numbers, media and surveillance studies, and theories of governance and risk, this article analyzes the forms of transparency produced by the use of numbers in social life. It examines what it is about numbers that often makes their ‘truth claims’ so powerful, investigates the role that numerical operations play in the production of retrospective, real-time and anticipatory forms of transparency in contemporary politics and economic transactions, and discusses some of the (...) implications resulting from the increasingly abstract and machine-driven use of numbers. It argues that the forms of transparency generated by machine-driven numerical operations open up for individual and collective practices in ways that are intimately linked to precautionary and pre-emptive aspirations and interventions characteristic of contemporary governance. As such, these numerical operations raise important political and ethical questions that deserve further conceptual and empirical scrutiny. (shrink)

Ever since Big Data became a mot du jour across social fields, optical metaphors such as the microscope began to surface in popular discourse to describe and qualify its epistemological impact. While the persistence of optics seems to be at odds with the datafication of vision, this article suggests that the optical metaphor offers an opportunity to reflect about the material consequences of the modes of seeing and knowing that currently shape datafied worlds. Drawing on feminist new materialism, the (...) article investigates the optical metaphor as a material-discursive practice that actively constitutes the world, as metaphors imply modes of thinking, knowing and doing that have material enactions. Expanding visual culture theories, the notion of ‘optical unconscious’ is taken up to discuss the tensions between displacement and persistence of optics within datafied worlds, that is, how optical vision is displaced but also mobilised and repurposed by data-driven knowledge. In dialogue with feminist science and technology studies and speculative ethics, I suggest that the datafication of vision offers a chance to reconceptualize the sense of sight towards a sensorial engagement with Big Data premised on responsibility, care, and an ethics of unknowability. Within this framework, vision may be conceived differently, perhaps not only as enhancement and control, but as generator of new possibilities. Ultimately, the article proposes that the visual theories after which Big Data is being imagined matter not only for our understanding of Big Data's epistemic potential, but also for the possibility of shaping emerging data worlds. (shrink)

The article examines four models of data governance emerging in the current platform society. While major attention is currently given to the dominant model of corporate platforms collecting and economically exploiting massive amounts of personal data, other actors, such as small businesses, public bodies and civic society, take also part in data governance. The article sheds light on four models emerging from the practices of these actors: data sharing pools, data cooperatives, public data trusts and personal data sovereignty. We propose (...) a social science-informed conceptualisation of data governance. Drawing from the notion of data infrastructure we identify the models as a function of the stakeholders’ roles, their interrelationships, articulations of value, and governance principles. Addressing the politics of data, we considered the actors’ competitive struggles for governing data. This conceptualisation brings to the forefront the power relations and multifaceted economic and social interactions within data governance models emerging in an environment mainly dominated by corporate actors. These models highlight that civic society and public bodies are key actors for democratising data governance and redistributing value produced through data. Through the discussion of the models, their underpinning principles and limitations, the article wishes to inform future investigations of socio-technical imaginaries for the governance of data, particularly now that the policy debate around data governance is very active in Europe. (shrink)

This article is a critical genealogy of Tay, an artificial-intelligence chatbot that Microsoft released on Twitter in 2016, which was quickly hijacked by internet trolls to reproduce racist, misogynist, and antisemitic language. Tay’s repetition and production of hate speech calls for an approach that draws on both media and cultural theory—the Frankfurt School’s dialectical analyses of language and ideology, in particular. Revisiting the Frankfurt School in the age of algorithmic reason shows that, contrary to views foundational to computing, a neural-network (...) chatbot like Tay does not sidestep meaning but rather carries and alters it, with unforeseen social and political consequences. A return to the work of Max Horkheimer and Theodor W. Adorno thus locates ideology in the digital world at the nexus of language’s ability to mean, language and meaning’s susceptibility to computation, and the design of a machine to compute both. Coming to critical terms with the antisemitism produced in Tay’s human-computer synthesis requires, as this article contends, addressing the uncanny embodiment and reflection of thought that is digital computation. (shrink)

Educational institutions increasingly rely on digital platforms to deliver content and learning, monitor attendance, communicate with stakeholders, and evaluate institutional performance. Despite the efficiency and accessibility gains they offer, digital platforms are powered by personal data which, through a process of datafication, can be used to track, monitor, and profile staff and students. The insights drawn from this data can be used to shape educational and professional futures. This article examines how datafication has become a social justice issue (...) in education, discussing the implications for well-being, decision-making, governance, and power in education. Using Hintz and colleagues framework for data justice, it applies and explores the three dimensions of data justice to the context of education, including: (1) infrastructures (2) regulation, and (3) informed and knowledgeable stakeholders. The paper discusses the unique challenges to achieving data justice in education and concludes by outlining the key questions for a future research agenda. (shrink)

This article conducts a brief review of works dealing with recognition processes in media environments, with a special focus on social media platforms. It argues that efforts to analyze dynamics of recognition in datafied spaces should take into consideration the working logics of such platforms, which are responsible for the organization of media practices around the creation of economic value for the companies. The article examines the news feeds as a type of social space where these logics are manifested in (...) the decisions of the platforms about what and when to show to their users. In this context, practices of sociability aimed at increasing recognition in social media platforms should be understood within a broader movement of datafication of society, which deepens the presence of capitalist logics in social life. (shrink)

In response to the prospects and challenges of emerging digital communication technologies, higher education level courses are increasingly being developed to address the ethical implications of these technologies. To this end, an undergraduate course has been developed that emphasizes the importance of process-oriented and case-based approaches to the ethical implications of data-driven communication technologies such as X (Twitter), digital crowdsourcing, smart cities, and face/emotion recognition. The course is structured around a model of case-based learning; starting with basic concepts and theories (...) given by the instructor. This is followed by collaborative problem-solving sessions where students and the instructor work together to consider responses to problems that are relevant to particular digital communication technologies and of interest to course participants. This chapter attempts to motivate the adoption of this approach to teach the ethics of digital communication technologies. The first section offers a conceptual take on digital communication technologies and highlights the ethical implications of the process of datafication that underlies many of these data-driven platforms. In addition, the rationale for doing applied ethics together with media and communication students is explained. The second section briefly describes the design of the course. (shrink)

The datafication and digitalization of health and medicine has engendered a proliferation of new collaborations between public health institutions and data corporations like Google, Apple, Microsoft and Amazon. Critical perspectives on these new partnerships tend to frame them as an instance of market transgressions by tech giants into the sphere of health and medicine, in line with a “hostile worlds” doctrine that upholds that the borders between market and non-market spheres should be carefully policed. This article seeks to outline (...) the limitations of this common framing for critically understanding the phenomenon of the Googlization of health. In particular, the mobilization of a diversity of non-market value statements in the justification work carried out by actors involved in the Googlization of health indicates the co-presence of additional worlds or spheres in this context, which are not captured by the market vs. non-market dichotomy. It then advances an alternative framework, based on a multiple-sphere ontology that draws on Boltanski and Thevenot’s orders of worth and Michael Walzer’s theory of justice, which I call a normative pragmatics of justice. This framework addresses both the normative deficit in Boltanski and Thevenot’s work and provides an important emphasis on the empirical workings of justice. Finally, I discuss why this framework is better equipped to identify and to address the many risks raised by the Googlization of health and possibly other dimensions of the digitalization and datafication of society. (shrink)

Framing datafication as new form of knowledge production has become a trope in both academic and commercial contexts. This special theme examines and ultimately rejects the familiar grand claims of datafication, to instead pay attention to emergent conversations that seek to take a more nuanced stock of the status and nature of datafied knowledge production. The articles in this special theme thus engage with datafied knowledge production through elaborate explorations of how datafied knowledge depends on the contexts of (...) its production and the forms of knowledge production that precede it in those contexts. Our basic argument is that while the resources, material features and analytical operations involved in datafied knowledge production may be different, many fundamental concerns about epistemology, ontology and methods remain relevant to understand what shapes it. We still need to understand and explicate the assumptions, operations and consequences of emergent forms of knowledge production. If datafied knowledge production is neither a clean revolutionary break with past forms of knowledge production nor a balloon of pure hype, the articles in this special theme ask: what does the phenomenon of datafied knowledge production look like? Which digital and datafied infrastructures support its future development? And what potentialities and limits do such forms of analysis and knowledge production contain? (shrink)

The increasing pervasiveness of datafication across social life is significantly challenging the scope and meanings of visibility. How do new modes of data capture compel us to rethink the notion of visibility, no longer understood as an ocular-based perceptual field, but as a multifaceted site of power? Focusing in particular on technologies of algorithmic recognition, the article argues that in order to understand the broad stakes of visibility under algorithmic life, the intersection between algorithmic recognition and the notion of (...) social recognizability needs to be further theorized. In dialogue with the work of Sondra Perry, and drawing on contributions from feminist and critical race theories, the article revisits theoretical debates on racialized visibility within photography and film to show how racializing processes are inscribed in digital and algorithmic technologies. In reading through these debates, the article suggests that visibility, as a racial formation, is always already subjected to an algorithmic logic. Through the analysis of Sondra Perry’s work, the article sketches out a political ontology of the image premised on the intersection between computation and the markings of the flesh as a possible way to think through the stakes of visibility under algorithmic life. (shrink)

ABSTRACT:Datafication has allowed us to quantify every facet of the corona-virus pandemic. A significant quantity of data sets on infection and recovery rates, mortality, comorbidities, the intensity of symptoms, region-by-region statistics, vaccination, and virus variants, among other things, has been made publicly available. However, these data sets relentlessly reduce human beings to mere numbers and graph points. The present study employs a close reading of comic panels to demonstrate how graphic medicine uses data to critique, supplement, and expose its (...) lacunae. The article draws from graphic medical narratives and panels such as Andy Warner's "The Nib Bureau of Statistics" (2020), Sarah Firth's "State of Emergency" (2021), and Randall Munroe's "Statistics" (2020). Though data visualizations and comics are both graphical representations, their treatment of COVID-19-related issues is radically different. Graphic medicine "re-draws" data visualizations through imitation, subversion, and displacement to showcase multiple temporalities, marginal agencies, and the affective nature of human existence. Furthermore, the humanistic intervention of graphic medicine deftly reclaims individual lives and attendant stories in a world dominated by technologically mediated data. This essay does not dismiss the performative force of data; instead, it insists on humanizing and contextualizing a sensitive presentation of data to convey our entangled existence and collective states. (shrink)

Digitization and datafication of public space have a significant impact on how cities are developed, governed, perceived and used. As technological developments are based upon political decisions, which impact people’s everyday lives, and from which not everyone benefits or suffers equally, we argue that ‘the smart city’ should be part of continuous public debate; that it should be considered and treated as a social problem. Through nine focus groups, we invited respondents to explore and discuss instances and dilemmas of (...) the smart city. We investigated which interpretative repertoires they used to frame the smart city as a social and actionable problem. Following Blumer's and Gamson's theories on the social construction of problems and on collective action frames, we assessed respondents’ discursive interpretations and their subjective construction of their senses of injustice, agency and identity regarding this subject. We find that – in the context of the city of Rotterdam in The Netherlands – citizens do not experience and consider the smart city as a social and actionable problem. Although they do associate the technological development of smart cities with potential threats, this does not change or constrain their sense of ‘actionability’, nor their behaviour, as they consider themselves to be powerless individuals regarding what, in their eyes, is a complex, elusive and inevitable situation they are confronted with. Strikingly, rather than specifically and contextually reflecting on smart city issues, respondents tended to express their concerns in the more general context of digital and data technologies invading everyday life. (shrink)

This paper presents a literature review on the ethics of self-tracking technologies which are utilized by users to monitor parameters related to their activity and bodily parameters. By examining a total of 65 works extracted through a systematic database search and backwards snowballing, the authors of this review discuss three categories of opportunities and ten categories of concerns currently associated with self-tracking. The former include empowerment and well-being, contribution to health goals, and solidarity. The latter are social harms, privacy and (...) surveillance, ownership control and commodification of data, autonomy, data-facilitated harm, datafication and interpretability of data, negative impact on relation to self and others, shortcomings of design, negative impact on health perception, and regulation and enforcement of rules. The review concludes with a critical analysis of the existing literature and an overview of a future research agenda that could complement the current work on ethics of self-tracking. (shrink)

This paper aims to provide an overview of surveillance theories and concepts that can help to understand and debate surveillance in its many forms. As scholars from an increasingly wide range of disciplines are discussing surveillance, this literature review can offer much-needed common ground for the debate. We structure surveillance theory in three roughly chronological/thematic phases. The first two conceptualise surveillance through comprehensive theoretical frameworks which are elaborated in the third phase. The first phase, featuring Bentham and Foucault, offers architectural (...) theories of surveillance, where surveillance is often physical and spatial, involving centralised mechanisms of watching over subjects. Panoptic structures function as architectures of power, not only directly but also through disciplining of the watched subjects. The second phase offers infrastructural theories of surveillance, where surveillance is networked and relies primarily on digital rather than physical technologies. It involves distributed forms of watching over people, with increasing distance to the watched and often dealing with data doubles rather than physical persons. Deleuze, Haggerty and Ericson, and Zuboff develop different theoretical frameworks than panopticism to conceptualise the power play involved in networked surveillance. The third phase of scholarship refines, combines or extends the main conceptual frameworks developed earlier. Surveillance theory branches out to conceptualise surveillance through concepts such as dataveillance, access control, social sorting, peer-to-peer surveillance and resistance. With the datafication of society, surveillance combines the physical with the digital, government with corporate surveillance and top-down with self-surveillance. (shrink)

Frequent public uproar over forms of data science that rely on information about people demonstrates the challenges of defining and demonstrating trustworthy digital data research practices. This paper reviews problems of trustworthiness in what we term pervasive data research: scholarship that relies on the rich information generated about people through digital interaction. We highlight the entwined problems of participant unawareness of such research and the relationship of pervasive data research to corporate datafication and surveillance. We suggest a way forward (...) by drawing from the history of a different methodological approach in which researchers have struggled with trustworthy practice: ethnography. To grapple with the colonial legacy of their methods, ethnographers have developed analytic lenses and researcher practices that foreground relations of awareness and power. These lenses are inspiring but also challenging for pervasive data research, given the flattening of contexts inherent in digital data collection. We propose ways that pervasive data researchers can incorporate reflection on awareness and power within their research to support the development of trustworthy data science. (shrink)

Analysing how news media portray A.I. reveals what interpretative frameworks around the technology circulate in public discourses. This allows for critical reflections on the making of meaning in prevalent narratives about A.I. and its impact. While research on the public perception of datafication and automation is growing, only a few studies investigate news framing practices. The present study connects to this nascent research area by charting A.I. news frames in four internationally renowned media outlets: The New York Times, The (...) Guardian, Wired, and Gizmodo. The main goals are to identify dominant emphasis frames in AI news reporting over the past decade, to explore whether certain A.I. frames are associated with specific data risks, and what journalists and experts contribute to the media discourse. An automated content analysis serves for inductive frame detection, identification of risk references, and network analysis of news writers. The results show how A.I.’s ubiquity emerged rapidly in the mid-2010s, and that the news discourse became more critical over time. It is further argued that A.I. news reporting is an important factor in building critical data literacy among lay audiences. (shrink)

The focus of this paper are the ethical, legal and social challenges for ensuring the responsible use of “big brain data”—the recording, collection and analysis of individuals’ brain data on a large scale with clinical and consumer-directed neurotechnological devices. First, I highlight the benefits of big data and machine learning analytics in neuroscience for basic and translational research. Then, I describe some of the technological, social and psychological barriers for securing brain data from unwarranted access. In this context, I then (...) examine ways in which safeguards at the hardware and software level, as well as increasing “data literacy” in society, may enhance the security of neurotechnological devices and protect the privacy of personal brain data. Regarding ethical and legal ramifications of big brain data, I first discuss effects on the autonomy, the sense of agency and authenticity, as well as the self that may result from the interaction between users and intelligent, particularly closed-loop, neurotechnological devices. I then discuss the impact of the “datafication” in basic and clinical neuroscience research on the just distribution of resources and access to these transformative technologies. In the legal realm, I examine possible legal consequences that arises from the increasing abilities to decode brain states and their corresponding subjective phenomenological experiences on the hitherto inaccessible privacy of these information. Finally, I discuss the implications of big brain data for national and international regulatory policies and models of good data governance. (shrink)

Data activism, promoting new forms of civic and political engagement, has emerged as a response to problematic aspects of datafication that include tensions between data openness and data ownership, and asymmetries in terms of data usage and distribution. In this article, we discuss MyData, a data activism initiative originating in Finland, which aims to shape a more sustainable citizen-centric data economy by means of increasing individuals' control of their personal data. Using data gathered during long-term participant-observation in collaborative projects (...) with data activists, we explore the internal tensions of data activism by first outlining two different social imaginaries – technological and socio-critical – within MyData, and then merging them to open practical and analytical space for engaging with the socio-technical futures currently in the making. While the technological imaginary favours data infrastructures as corrective measures, the socio-critical imaginary questions the effectiveness of technological correction. Unpacking them clarifies the kinds of political and social alternatives that different social imaginaries ascribe to the notions underlying data activism, and highlights the need to consider the social structures in play. The more far-reaching goal of our exercise is to provide practical and analytical resources for critical engagement in the context of data activism. By merging technological and socio-critical imaginaries in the work of reimagining governing structures and knowledge practices alongside infrastructural arrangements, scholars can depart from the most obvious forms of critique, influence data activism practice, and formulate data ethics and data futures. (shrink)

The United Nations confirmed that privacy remains a human right in the digital age, but our daily digital experiences and seemingly ever-increasing amounts of data suggest that privacy is a mundane, distributed and technologically mediated concept. This article explores privacy by mapping out different legal and conceptual approaches to privacy protection in the context of datafication. It provides an essential starting point to explore the entwinement of technological, ethical and regulatory dynamics. It clarifies why each of the presented approaches (...) emphasises particular aspects and analyses the tensions that arise. The resulting overview provides insight into the main strengths and limitations of the different approaches arising from specific traditions. This analytic overview therefore serves as a key resource to analyse the usefulness of the approaches in the context of the increasing datafication of both private and public spheres.Specifically, we contrast the approach focusing on data subjects whose data are being ‘protected’ with others, including Fair Information Practice Principles, the German right to ‘informational self-determination’, and the South American ‘habeas data’ doctrine. We also present and contrast emerging approaches to privacy and discuss their intersection with datafication. In conclusion, we put forth that rather than aiming for one single solution that works worldwide and across all situations, it is essential to identify synergies and stumbling blocks between the various regulatory settings and newly emerging approaches. (shrink)

The Snowden leaks, first published in June 2013, provided unprecedented insights into the operations of state-corporate surveillance, highlighting the extent to which everyday communication is integrated into an extensive regime of control that relies on the ‘datafication’ of social life. Whilst such data-driven forms of governance have significant implications for citizenship and society, resistance to surveillance in the wake of the Snowden leaks has predominantly centred on techno-legal responses relating to the development and use of encryption and policy advocacy (...) around privacy and data protection. Based on in-depth interviews with a range of social justice activists, we argue that there is a significant level of ambiguity around this kind of anti-surveillance resistance in relation to broader activist practices, and critical responses to the Snowden leaks have been confined within particular expert communities. Introducing the notion of ‘data justice’, we therefore go on to make the case that resistance to surveillance needs to be conceptualized on terms that can address the implications of this data-driven form of governance in relation to broader social justice agendas. Such an approach is needed, we suggest, in light of a shift to surveillance capitalism in which the collection, use and analysis of our data increasingly comes to shape the opportunities and possibilities available to us and the kind of society we live in. (shrink)

Metrics have long served as tools for governing at a distance. In the food industry, major manufacturers have embraced metrics as tools to govern the sustainability of the farms producing their commodity raw materials. This metrical turn has been influenced but also complicated by agricultural datafication, that is, the increasing quantities of data generated on and about farms. Despite the sheer abundance of data that companies might use to measure and drive improvement in on-farm sustainability, they have struggled to (...) collect data suitable for such purposes. Attention to the different kinds of distance and diversity across which metrics are supposed to govern suggests reasons why they may fail to do so, even when wielded by otherwise powerful corporations. (shrink)

This article compares political clientelism and datafied campaigning as two modes of relating politicians/parties and voters that are centred around voter surveillance. It contributes to the discussion on consequences of Big Data by showing similarities of datafied campaigns with a type of electoral politics that pre-dates the advent of mass media and is usually regarded as deficient. It thus departs from the predominant perspective on datafication and surveillance, which draws on Foucault, in order to identify the particular challenges that (...) datafication poses in the realm of democratic electoral politics. They are related to four major aspects in which datafied campaigning resembles political clientelism, as opposed to the combination of ideology, issue-based campaigning and media appeal that characterized Western European party politics in the second half of the 20th century. It personalizes the relationship between politicians and voters with the help of intermediaries; it is based on an asymmetric and iterative monitoring of voters; it implies a strong particularism and an affinity with populist appeals; and it is ambivalent with regard to the volition of voters. The identification of these similarities renders general concerns about the consequences of datafied campaigning for democracy more concrete. It offers a mirror in which seemingly novel practices are revealed to have implications that are well known to be problematic for the quality of democracy. (shrink)

Recent technological and methodological changes in farming have led to an emerging set of claims about the role of digital technology in food production. Known as precision agriculture, the integration of digital management and surveillance technologies in farming is normatively presented as a revolutionary transformation. Proponents contend that machine learning, Big Data, and automation will create more accurate, efficient, transparent, and environmentally friendly food production, staving off both food insecurity and ecological ruin. This article contributes a critique of these rhetorical (...) and discursive claims to a growing body of critical literature on precision agriculture. It argues precision agriculture is less a revolution than an evolution, an effort to shore up and intensify the conventional farming system responsible for generating many of the social and environmental problems precision agriculture is presented as solving. While precision agriculture advocates portray it as a radical, even democratic epistemological break with the past, this paper locates truth claims surrounding datafication and algorithmic control in farming within deeper historical contexts of the capitalist rationalization of production and efforts to quantify and automate physical and mental labor. Abjuring the growing cultural tendency to treat algorithmic systems as revolutionary in favor of social and historical dimensions of precision agriculture, can help re-frame the discussion about its design and use around real, socially and ecologically oriented change in farming, and so ensure that the possibilities and benefits of precision agriculture are as evenly and effectively shared as possible. (shrink)

Intense interspecies engagements are central to the work of ecologists, as they seek to understand our rapidly changing world. To explore researcher-bird engagements in ecological fieldwork, we use a lens of care. Taking as a starting point the widely shared photos of bird-in-the-hand that portray situations where individual birds become sources of data about populations, we show the significance of complex care work in ethically and epistemically loaded moments. Crucial knowledge about survival, biodiversity loss and animal welfare emerges at the (...) intersection of multispecies care for individuals, for populations and for knowledge infrastructures. We put forth the concept of intermittent care to explain the changing concerns for individual birds here-and-now or for populations of the future. Attention to care therefore helps unravel how ecological knowing depends on entanglements between humans, nature, and technologies that take shape through a constant negotiation of different strands and matters of multispecies care. (shrink)