Search

This paper argues that the social power of algorithms comes to the fore through the narratives they generate about individuals. Proposing the notion of 'algorithmic emplotment', the article showcases the ways in which algorithms construct and tell narratives about us, participating in shaping people's encounters with the world and their perceptions of it. The concept denotes the processes through which data, people, experiences, and complex temporalities are ordered, woven together, and presented as coherent, frictionless narratives in the present. Through an analysis of the smartphone feature called Apple Memories, the paper seeks to highlight the narratives algorithms tell, how they are constructed, and the potential impacts they may have on everyday life. The concept of algorithmic emplotment is used to scrutinise the ways in which people's lives are rendered sequential, ordered, and ultimately meaningful and actionable by algorithmic processes. [ABSTRACT FROM AUTHOR]

Algorithms make highly consequential decisions and, thereby, exercise considerable power. In this study, I investigate how social power through algorithms is exercised in media consumption, particularly through curation algorithms. This conceptual paper then contributes to the understanding of social power through algorithms by suggesting the concept of algorithmic meta-capital. The concept derives from Bourdieu's theory on meta-capital which has also been applied to legacy media. I then argue that this algorithmic meta-capital is an extension of the power traditionally held by the state and legacy media. The study also contributes to the understanding of meta-capital as it proposes how the meta-capital possessed by digital intermediaries functions. It does so by legitimating representations of the world and by creating a necessity for algorithmic visibility across different fields, thereby shaping habitus. This Bourdieusian approach enables researchers to take a balanced view on the power of algorithms on the structure/agency continuum. [ABSTRACT FROM AUTHOR]

More and more aspects of our everyday lives are being mediated, augmented, produced and regulated by software-enabled technologies. Software is fundamentally composed of algorithms: sets of defined steps structured to process instructions/data to produce an output. This paper synthesises and extends emerging critical thinking about algorithms and considers how best to research them in practice. Four main arguments are developed. First, there is a pressing need to focus critical and empirical attention on algorithms and the work that they do given their increasing importance in shaping social and economic life. Second, algorithms can be conceived in a number of ways – technically, computationally, mathematically, politically, culturally, economically, contextually, materially, philosophically, ethically – but are best understood as being contingent, ontogenetic and performative in nature, and embedded in wider socio-technical assemblages. Third, there are three main challenges that hinder research about algorithms (gaining access to their formulation; they are heterogeneous and embedded in wider systems; their work unfolds contextually and contingently), which require practical and epistemological attention. Fourth, the constitution and work of algorithms can be empirically studied in a number of ways, each of which has strengths and weaknesses that need to be systematically evaluated. Six methodological approaches designed to produce insights into the nature and work of algorithms are critically appraised. It is contended that these methods are best used in combination in order to help overcome epistemological and practical challenges. [ABSTRACT FROM PUBLISHER]

Our everyday practices are increasingly mediated through online technologies, entailing the navigation and also oft-simultaneous creation of large quantities of information and communication data. The scale and types of activities being undertaken, the data that are being created and engaged with, and the possibilities for analysis, archiving and distribution are now so extensive that technical constructs are necessarily required as a way to manage, interpret and distribute these. These constructs include the platforms, the software, the codes and the algorithms. This paper explores the place of the algorithm in shaping and engaging with the contemporary everyday. It does this via an exploration of some particular instances of algorithmic sorting and presentation as well as considering some of the ways these contribute to shaping our everyday practices and understandings. In doing so, it raises questions about understandings of agency and power, shifting world views and our complex relationship with technologies. [ABSTRACT FROM PUBLISHER]

The image of big data and algorithms in society is obviously ambivalent. On the one hand, algorithms are seen as a tool of empowerment that allows us, for example, to render society transparent and thus governable, to the extent that the social sciences might even become obsolete. On the other hand, algorithms seem to assume a mysterious agency in the black box of the computer so that their operations are invisible and inscrutable to us: artificial intelligence is seen as something that one day will have the power to dominate us. Beyond these two extreme positions that both overestimate and underestimate how algorithms might change our way of seeing things and being in the world, the present article introduces a third perspective. Algorithms, it holds, indeed follow their own 'style of reasoning' and thus create new realities. At the same time, however, they 'reduce reality', as they lack access to the world of human sense making. Algorithms have no secrets but deploy a 'logic of the surface'. As they paint a behaviorist picture of human modes of existence, algorithms and big data might change our self-understanding. Engaging in epistemological questions will help us to capture the ontological implications of algorithmic reasoning. [ABSTRACT FROM AUTHOR]

This article explores the questions associated with what might be thought of asthe social power of algorithms. The article, which introduces a special issue on the same topic, begins by reflecting on how we might approach algorithms from a social scientific perspective. The article is then split into two sections. The first deals with the issues that might be associated with an analysis of the power of the algorithms themselves. This section outlines a series of issues associated with the functionality of the algorithms and how these functions are powerfully deployed within social world. The second section then focuses upon thenotionof the algorithm. In this section, the article argues that we need to look beyond the algorithms themselves, as a technical and material presence, to explore how the notion or concept of the algorithm is also an important feature of their potential power. In this section, it is suggested that we look at the way that notions of the algorithm are evoked as a part of broader rationalities and ways of seeing the world. Exploring the notion of the algorithm may enable us to see how algorithms also play a part in social ordering processes, both in terms of how the algorithm is used to promote certain visions of calculative objectivity and also in relation to the wider governmentalities that this concept might be used to open up. [ABSTRACT FROM PUBLISHER]

Because information algorithms make judgments that can have powerful consequences, those interested in having their information selected will orient themselves toward these algorithmic systems, making themselvesalgorithmically recognizable, in the hopes that they will be amplified by them. Examining this interplay, between information intermediaries and those trying to be seen by them, connects the study of algorithmic systems to long-standing concerns about the power of intermediaries – not an algorithmic power, uniquely, but the power to grant visibility and certify meaning, and the challenge of discerning who to grant it to and why. Here, I consider Dan Savage’s attempt to redefine the name of U.S. Senator Rick Santorum, a tactical intervention that topped Google’s search results for nearly a decade, and then mysteriously dropped during the 2012 Republican nominations. Changes made to Google’s algorithm at the time may explain the drop; here, they help to reveal the kind of implicitly political distinctions search engines must invariably make, between genuine patterns of participation and tactical efforts to approximate them. [ABSTRACT FROM PUBLISHER]

This article reflects the kinds of situations and spaces where people and algorithms meet. In what situations do people become aware of algorithms? How do they experience and make sense of these algorithms, given their often hidden and invisible nature? To what extent does an awareness of algorithms affect people's use of these platforms, if at all? To help answer these questions, this article examines people's personal stories about the Facebook algorithm through tweets and interviews with 25 ordinary users. To understand the spaces where people and algorithms meet, this article develops the notion of the algorithmic imaginary. It is argued that the algorithmic imaginary – ways of thinking about what algorithms are, what they should be and how they function – is not just productive of different moods and sensations but plays a generative role in moulding the Facebook algorithm itself. Examining how algorithms make people feel, then, seems crucial if we want to understand their social power. [ABSTRACT FROM PUBLISHER]