Carolin Gerlitz

The like economy: Social buttons and the data-intensive web

The paper examines Facebook’s ambition to extend into the entire web by focusing on social buttons and developing a medium-specific platform critique. It contextualises the rise of buttons and counters as metrics for user engagement and links them to different web economies. Facebook’s Like buttons enable multiple data flows between various actors, contributing to a simultaneous de- and re-centralisation of the web. They allow the instant transformation of user engagement into numbers on button counters, which can be traded and multiplied but also function as tracking devices. The increasing presence of buttons and associated social plugins on the web creates new forms of connectivity between websites, introducing an alternative fabric of the web. Contrary to Facebook’s claim to promote a more social experience of the web, this paper explores the implementation and technical infrastructure of such buttons to conceptualise them as part of a so-called ‘Like economy’.

Interface Methods: Renegotiating Relations between Digital Social Research, STS and Sociology

This paper introduces a distinctive approach to methods development in digital social research called ‘interface methods’. We begin by discussing various methodological confluences between digital media, social studies of science and technology (STS) and sociology. Some authors have posited significant overlap between, on the one hand, sociological and STS concepts, and on the other hand, the ontologies of digital media. Others have emphasized the significant differences between prominent methods built into digital media and those of STS and sociology. This paper advocates a third approach, one that (a) highlights the dynamism and relative under-determinacy of digital methods, and (b) affirms that multiple methodological traditions intersect in digital devices and research. We argue that these two circumstances enable a distinctive approach to methodology in digital social research – thinking methods as ‘interface methods’ – and the paper contextualizes this approach in two different ways. First, we show how the proliferation of online data tools or ‘digital analytics’ opens up distinctive opportunities for critical and creative engagement with methods development at the intersection of sociology, STS and digital research. Second, we discuss a digital research project in which we investigated a specific ‘interface method’, namely co-occurrence analysis. In this digital pilot study we implemented this method in a critical and creative way to analyse and visualize ‘issue dynamics’ in the area of climate change on Twitter. We evaluate this project in the light of our principal objective, which was to test the possibilities for the modification of methods through experimental implementation and interfacing of various methodological traditions. To conclude, we discuss a major obstacle to the development of ‘interface methods’: digital media are marked by particular quantitative dynamics that seem adverse to some of the methodological commitments of sociology and STS. To address this, we argue in favour of a methodological approach in digital social research that affirms its maladjustment to the research methods that are prevalent in the medium.

The Politics of Real-time: A Device Perspective on Social Media Platforms and Search Engines:

This paper enquires into the politics of real-time in online media. It suggests that real-time cannot be accounted for as a universal temporal frame in which events happen, but explores the making of real-time from a device perspective focusing on the temporalities of platforms. Based on an empirical study exploring the pace at which various online media produce new content, we trace the different rhythms, patterns or tempos created by the interplay of devices, users’ web activities and issues. What emerges are distinct forms of ‘realtimeness’ which are not external from but specific to devices, organized through socio-technical arrangements and practices of use. Realtimeness thus unflattens more general accounts of the real-time web and research, and draws attention to the agencies built into specific platform temporalities and the political economies of making real-time.

Social media and self-evaluating assemblages : on numbers, orderings and values

This paper takes tools of self-valuation in social media as an empirical focus. By way of a case-study of Klout, an influential measure of influence, we suggest that the forms of reactivity and self-fulfilling prophecy that have been identified as a problem with some forms of measurement are actually an intentional effect of such tools: that is, the measurements that such tools produce are not designed to capture a separate reality, but are deliberately employed to modify the activity that they themselves invite. In other words, they expect and exploit reactivity. We suggest that such media are indicative of the rise in what might be called participative metrics of value. We further suggest that the capacity to evaluate and modify the self that Klout affords is intricately tied up with the agency and (self-)valuation of Klout as a tool itself. An intermediate layer of the argument is that this tying up is achieved through the production of numbers as specific kinds of ‘enumerated entities’. We use this term to draw attention to the ways in which numbers are never simply abstractions, but always have specific material-semiotic properties. In this case, we show that these properties are tied to the use of media-specific operations, and that these properties, including those of inclusion and belonging, inform how Klout participates in particular kinds of ordering and valuation. We thus explore the interlinked movement of numbers, media, and value in social media as a kind of dynamic assemblage.

What Counts? Reflections on the Multivalence of Social Media Data

Abstract Social media platforms have been characterised by their programmability, affordances, constraints and stakeholders - the question of value and valuation of platforms, their data and features has, however, received less attention in platform studies. This paper explores the specific socio-technical conditions for valuating platform data and suggests that platforms set up their data to become multivalent, that is to be valuable alongside multiple, possibly conflicting value regimes. Drawing on both platform and valuation studies, it asks how the production, storing and circulation of data, its connection to user action and the various stakeholders of platforms contribute to its valuation. Platform data, the paper suggests, is the outcome of capture systems which allow to collapse action and its capture into pre-structured data forms which remain open to divergent interpretations. Platforms offer such grammars of action both to users and other stakeholders in frontand back-ends, inviting them to produce and engage with its data following heterogeneous orders of worth. Platform data can participate in different valuation regimes at the same time - however, the paper concludes, not all actors can participate in all modes of valuation, as in the end, it is the platform that sets the conditions for participation. The paper offers a conceptual perspective to interrogate what data counts by attending to questions of quantification, its entanglement with valuation and the various technologies and stakeholders involved. It finishes with an empirical experiment to map the various ways in which Instagram data is made to count.

Data infrastructure literacy

A recent report from the UN makes the case for “global data literacy” in order to realise the opportunities afforded by the “data revolution”. Here and in many other contexts, data literacy is characterised in terms of a combination of numerical, statistical and technical capacities. In this article, we argue for an expansion of the concept to include not just competencies in reading and working with datasets but also the ability to account for, intervene around and participate in the wider socio-technical infrastructures through which data is created, stored and analysed – which we call “data infrastructure literacy”. We illustrate this notion with examples of “inventive data practice” from previous and ongoing research on open data, online platforms, data journalism and data activism. Drawing on these perspectives, we argue that data literacy initiatives might cultivate sensibilities not only for data science but also for data sociology, data politics as well as wider public engagement with digital data infrastructures. The proposed notion of data infrastructure literacy is intended to make space for collective inquiry, experimentation, imagination and intervention around data in educational programmes and beyond, including how data infrastructures can be challenged, contested, reshaped and repurposed to align with interests and publics other than those originally intended.