Quantification, in the form of accountability measures, organizational rankings, and personal metrics, plays an increasingly prominent role in modern society. While past research tends to depict quantification primarily as either an external intervention or a tool that can be employed by organizations, we propose that conceptualizing quantification as a logic provides a more complete understanding of its influence and the profound transformations it can generate. Drawing on a 14-month ethnographic study of Korean higher education and 100 in-depth interviews with key (...) actors in this field, this study demonstrates four pathways through which the logic of quantification is embedded into organizations. Specifically, we show how this new logic reshaped organizational structure, practices, power, and culture—changes that in turn buttress and reproduce the logic. Theoretically, this study provides a new perspective on the deep institutionalization of quantification: why quantification is often intractable and “de-quantification” so rare. In addition, this work contributes to the organizational literature on institutional logics by demonstrating how prevailing logics build defenses to resist challengers and thus maintain their influence. Most generally, we consider how the self-reinforcing nature of this logic contributes to the intensification of rationalization in contemporary society. (shrink)

After decades of deregulation and innovation, contemporary financial markets remain firmly anchored in law and legal institutions. The idea that private financial actors simply want to escape government oversight and regulation is simplistic as private interests find the coercive powers of the state too useful to forgo. Instead, such actors engage law selectively to create a more certain environment for themselves and their profit-seeking activities. Contract law adds certainty to financial transactions; law shapes how financial actors use information and exploit (...) information technology; law constitutes financial values; and law allows financial institutions to be turned into assets. Law’s application is shaped by changing conceptions of risk, as well as by new business models for financial institutions. (shrink)

In this moment of rising nationalism worldwide, governments, civil society groups, transnational companies, and web users all complain of increasing regional fragmentation online. While prior work in this area has primarily focused on issues of government censorship and regulatory compliance, we use an inductive and qualitative approach to examine targeted blocking by corporate entities of entire regions motivated by concerns about fraud, abuse, and theft. Through participant-observation at relevant events and intensive interviews with experts, we document the quest by professionals (...) tasked with preserving online security to use new machine-learning based techniques to develop a “fairer” system to determine patterns of “good” and “bad” usage. However, we argue that without understanding the systematic social and political conditions that produce differential behaviors online, these systems may continue to embed unequal treatments, and troublingly may further disguise such discrimination behind more complex and less transparent automated assessment. In order to support this claim, we analyze how current forms of regional blocking incentivize users in blocked regions to behave in ways that are commonly flagged as problematic by dominant security and identification systems. To realize truly global, non-Eurocentric cybersecurity techniques would mean incorporating the ecosystems of service utilization developed by marginalized users rather than reasserting norms of an imagined user that casts aberrations as suspect. (shrink)

In this paper we make the case for the emergence of novel kind of bias with the use of algorithmic decision-making systems. We argue that the distinctive generative process of feature creation, characteristic of machine learning (ML), contorts feature parameters in ways that can lead to emerging feature spaces that encode novel algorithmic bias involving already marginalized groups. We term this bias _assembled bias._ Moreover, assembled biases are distinct from the much-discussed algorithmic bias, both in source (training data versus feature (...) creation) and in content (mimics of extant societal bias versus reconfigured categories). As such, this problem is distinct from issues arising from bias-encoding training feature sets or proxy features. Assembled bias is not epistemically transparent in source or content. Hence, when these ML models are used as a basis for decision-making in social contexts, algorithmic fairness concerns are compounded. (shrink)

There is an extensive body of literature detailing the forces behind and experiences of alienation in a modern capitalist world. However, social scientific interest in alienation had become parochial and balkanized by the 1970s. To reconstruct a unifying theory of alienation that addresses general features of capitalism, such as compulsory growth and commodification, and particular phases like financialized capitalism, we begin with the notion of futurelessness. Futurelessness refers to a deficient relationship to the future in which people’s senses of possibility (...) ossify, narrow, or dissipate. It may result from inclusion in and exclusion from capitalist mechanisms or processes. Moreover, processes of inclusion and exclusion may appear more voluntary or involuntary. With these general terms, we identify four manifestations of futurelessness in financial capitalism: commercial exhaustion, imaginative marginalization, therapeutic nowism, and pragmatic denialism. The conclusion addresses future-sustenance in an alienating world and the prospects of a more systemic and synthetic approach to alienation. (shrink)

The past 20 years have seen dramatic rises in suicide rates in the U.S. and other countries around the world. These trends have been identified as a public health crisis in urgent need of new solutions and have spurred significant research efforts to improve our understanding of suicide and strategies to prevent it. Unfortunately, despite making significant contributions to the founding of suicidology – through Emile Durkheim’s classic Suicide (1897 [1951]) – sociology’s role has been less prominent in contemporary efforts (...) to address these tragic trends, though as we will show, sociological theories offer great promise for advancing our understanding of suicide and improving the efficacy of suicide prevention. Here, we review sociological theory and empirical research on suicide. We begin where all sociologists must: with Durkheim. However, we offer a more comprehensive understanding of Durkheim’s insights into suicide than the prior reviews provided by those in other disciplines. In so doing, we reveal the nuance and richness of Durkheim’s insights that have been largely lost in modern suicidology, despite being foundational to all sociological theories of suicide – even those that have moved beyond his model. We proceed to discuss broadly acknowledged limitations to Durkheim’s theory of suicide and review how more recent theoretical efforts have not only addressed those concerns, but have done so by bringing a larger swatch of sociology’s theoretical and empirical toolkit to bare on suicide. Specifically, we review how recent sociological theories of suicide have incorporated insights from social network theories, cultural sociology, sociology of emotions, and sociological social psychology to better theorize how the external social world matters to individual psychological pain and suffering. We conclude by making explicit bridges between sociological and psychological theories of suicide; by noting important limitations in knowledge about suicide – particularly regarding the roles of organizations, inequality, and intersectionality in suicide – that sociology is well situated to help address. (shrink)

Progressing beyond the given has been a key modern tendency. Yet modern societies are currently facing the problem of how to put limits on progress, expansion, and growth, live within them, and preserve (rather than transcend) the present. Drawing on economic sociology scholarship on valuation and morality in economic life, this article develops and applies the term economization to analyze the enactment of limits on progress. The question of end-of-life care—when to stop medical efforts to prolong life, postpone death, and (...) advance the scientific frontier—serves as an illustrative empirical case that sheds light on limit-setting in general. My analysis of this case combines historical, ethnographic, and in-depth interview data on US palliative care clinicians, who specialize in making life-and-death decisions in acute care hospitals. (shrink)

Modern payment cards encompass a bewildering array of consumer technologies, from credit and debit cards to stored-value and loyalty cards. But what unites all of these financial media is their connection to recordkeeping systems. Each swipe sends data hurtling through invisible infrastructures to verify accounts, record purchase details, exchange funds, and update balances. With payment cards, banks and merchants have been able to amass vast archives of transactional data. This information is a valuable asset in itself. It can be used (...) for in-house data analytics programs or sold as marketing intelligence to third parties. This research examines the development of payment cards in the United States from the late 19th century to present, drawing attention to their fundamental relationship to identification, recordkeeping, and data mining. The history of payment cards, I argue, is not just a history of financial innovation and computing; it is also a history of Big Data and consumer surveillance. This history, moreover, provides insight into the growth of transactional data and the datafication of money in the digital economy. (shrink)

In recent years, scholars in the social sciences and humanities have turned their attention to how the rise of digital technologies is reshaping political life in contemporary society. Here, we analyze this issue by distinguishing between two classification technologies typical of pre-digital and digital eras that differently constitute the relationship between individuals and groups. In class-based systems, characteristic of the pre-digital era, one’s status as an individual is gained through membership in a group in which salient social identities are shared (...) in common with other group members. In attribute-based systems, characteristic of the digital era, one’s status as an individual is determined by virtue of possession of a set of attributes that need not be shared with others. We argue that differences between these two types of classification technologies have important implications for how persons attach (or fail to attach) to groups, and therefore what kinds of political mobilization are possible. We illustrate this argument by examining contention over the use of gender as a variable in the pricing of risk in insurance and credit – two markets in which individuals directly encounter class-based and attribute-based systems of classification, respectively. (shrink)

The harvesting of data about people, organizations, and things and their transformation into a form of capital is often described as a process of “accumulation by dispossession,” a pervasive loss of rights buttressed by predatory practices and legal violence. Yet this argument does not square well with the fact that enrollment into digital systems is often experienced as a much more benign process: signing up for a “free” service, responding to a “friend’s” invitation, or being encouraged to “share” content. In (...) this paper, we focus on the centrality of gifting and reciprocity to the business model and cultural imagination of digital capitalism. Relying on historical narratives and in-depth interviews with the designers and critics of digital systems, we explain the cultural genesis of these “give-to-get” relationships and analyze the socio-technical channels that structure them in practice. We suggest that the economic relation that develops as a result of a digital gift offering not only masks the structural asymmetry between giver and gifted but also permits the creation of the new commodity of personal data, obfuscates its true value, and naturalizes its private appropriation. We call this unique regime “accumulation by gift.”. (shrink)

In many Western capitalist economies, private indebtedness is pervasive, but it has received little attention from political philosophers. Economic theory emphasizes the liberating potential of debt contracts, but its picture is based on assumptions that do not always hold, especially when there is a background of structural injustice. Private debt contracts are likely to miss their liberating potential if there is deception or lack of information, if there is insufficient access to (regular forms of) credit, or if credit is overly (...) expensive. Markets for private debt can be mechanisms of structural injustice: rather than playing a neutral role, they reinforce injustices, because the failures of debt to be liberating disproportionately hit individuals in disadvantaged positions. By individualizing what are in fact structural problems, private debt can contribute to stigmatization, social exclusion and oppression. What is at stake, from a perspective of structural justice, is not only the distribution of income, but also the distribution of risk. The problems of private debt markets therefore require political attention. In addition to fighting the structural injustices that form the background condititions of private debt, it is also worth addressing private debt markets themselves. (shrink)

The use of algorithmic prediction in insurance is regarded as the beginning of a new era, because it promises to personalise insurance policies and premiums on the basis of individual behaviour and level of risk. The core idea is that the price of the policy would no longer refer to the calculated uncertainty of a pool of policyholders, with the consequence that everyone would have to pay only for her real exposure to risk. For insurance, however, uncertainty is not only (...) a problem – shared uncertainty is a resource. The availability of individual risk information could undermine the principle of risk-pooling and risk-spreading on which insurance is based. The article examines this disruptive change first by exploring the possible consequences of the use of predictive algorithms to set insurance premiums. Will it endanger the principle of mutualisation of risks, producing new forms of discrimination and exclusion from coverage? In a second step, we analyse how the relationship between the insurer and the policyholder changes when the customer knows that the company has voluminous, and continuously updated, data about her real behaviour. (shrink)

Over the last decade, ‘data scientists’ have burst into society as a novel expert role. They hold increasing responsibility for generating and analysing digitally captured human experiences. The article considers their professionalization not as a functionally necessary development but as the outcome of classification practices and struggles. The rise of data scientists is examined across their discursive classification in the academic and economic fields in both the USA and Germany. Despite notable differences across these fields and nations, the article identifies (...) two common subjectivation patterns. Firstly, data scientists are constructed as hybrids, who combine generally conflictive roles as both generalists and specialists; technicians and communicators; data exploiters and data ethicists. This finding is interpreted as demonstrating a discursive distinction between data scientists and other competing and supposedly more one-dimensional professionals, such as statisticians or computer scientists. Secondly, the article uncovers a discursive construction that interpellates data scientists as discoverers of needs. They are imagined as explorative work subjects who can establish growth for digital capitalism by generating behavioural patterns that allow for personalization, customization and optimization practices. (shrink)