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’.
This article discusses methodological approaches to app studies, focusing on their embeddedness and situatedness within multiple infrastructural settings. Our approach involves close attention to the multivalent affordances of apps as software packages, particularly their capacity to enter into diverse groupings and relations depending on different infrastructural situations. The changing situations they evoke and participate in, accordingly, make apps visible and accountable in a variety of unique ways. Therefore, engaging with and even staging these situations allows for political-economic, social, and cultural dynamics associated with apps and their infrastructures to be investigated through a style of research we describe as multi-situated app studies. This article offers an overview of four different entry points of enquiry that are exemplary of this multi-situated approach, focusing on app stores, app interfaces, app packages, and app connections. We conclude with nine propositions that develop out of these studies as prompts for further research.
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.
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.
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