Scraping the Social? Issues in live social research

What makes scraping methodologically interesting for social and cultural research? This paper seeks to contribute to debates about digital social research by exploring how a ‘medium-specific’ technique for online data capture may be rendered analytically productive for social research. As a device that is currently being imported into social research, scraping has the capacity to re-structure social research, and this in at least two ways. Firstly, as a technique that is not native to social research, scraping risks to introduce ‘alien’ methodological assumptions into social research (such as an pre-occupation with freshness). Secondly, to scrape is to risk importing into our inquiry categories that are prevalent in the social practices enabled by the media: scraping makes available already formatted data for social research. Scraped data, and online social data more generally, tend to come with ‘external’ analytics already built-in. This circumstance is often approached as a ‘problem’ with online data capture, but we propose it may be turned into virtue, insofar as data formats that have currency in the areas under scrutiny may serve as a source of social data themselves. Scraping, we propose, makes it possible to render traffic between the object and process of social research analytically productive. It enables a form of ‘real-time’ social research, in which the formats and life cycles of online data may lend structure to the analytic objects and findings of social research. By way of a conclusion, we demonstrate this point in an exercise of online issue profiling, and more particularly, by relying on Twitter to profile the issue of ‘austerity’. Here we distinguish between two forms of real-time research, those dedicated to monitoring live content (which terms are current?) and those concerned with analysing the liveliness of issues (which topics are happening?)

Seeing the smart city on Twitter: Colour and the affective territories of becoming smart

This paper pays attention to the immense and febrile field of digital image files which picture the smart city as they circulate on the social media platform Twitter. The paper considers tweeted images as an affective field in which flow and colour are especially generative. This luminescent field is territorialised into different, emergent forms of becoming ‘smart’. The paper identifies these territorialisations in two ways: firstly, by using the data visualisation software ImagePlot to create a visualisation of 9030 tweeted images related to smart cities; and secondly, by responding to the affective pushes of the image files thus visualised. It identifies two colours and three ways of affectively becoming smart: participating in smart, learning about smart, and anticipating smart, which are enacted with different distributions of mostly orange and blue images. The paper thus argues that debates about the power relations embedded in the smart city should consider the particular affective enactment of being smart that happens via social media. More generally, the paper concludes that geographers must pay more attention to the diverse and productive vitalities of social media platforms in urban life and that this will require experiment with methods that are responsive to specific digital qualities

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 emphasised 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 visualise ‘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 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 mal-adjustment to the research methods that are prevalent in the medium

Co-existence or displacement : do street trials of intelligent vehicles test society?

This paper examines recent street tests of autonomous vehicles (AV) in the UK and makes the case for an experimental approach in the sociology of intelligent technology. In recent years intelligent vehicle testing has moved from the laboratory to the street, raising the question of whether technology trials equally constitute tests of society. To adequately address this question, I argue, we need to move beyond analytic frameworks developed in 1990s Science and Technology Studies, which stipulated "a social deficit" of both intelligent technology and technology testing. This diagnosis no longer provides an effective starting point for sociological analysis, as real-world tests of intelligent technology explicitly seek to bring social phenomena within the remit of technology testing. I propose that we examine instead whether and how the introduction of intelligent vehicles into the street involves the qualification and re-qualification of relations and dynamics between social actors. I develop this proposal through a discussion of a field study of AV street trials in three cities in the UK - London, Milton Keynes and Coventry. These urban trials were accompanied by the claim that automotive testing on the open road will enable cars to operate in tune with the social environment, and I show how iterations of street testing undo this proposition and compel its reformulation. Current test designs are limited by their narrow conception of sociality in terms of interaction between cars and other road users. They exclude from consideration the relational capacities of vehicles and human road users alike - their ability to co-exist on the open road. I conclude by making the case for methodological innovation in social studies of intelligent technology: by combining social research and design methods, we can re-purpose real-world test environments in order to elucidate social issues and dynamics raised by intelligent vehicles in society by experimental means, and, possibly, test society

Smart cities, social media platforms and security: online content regulation as a site of controversy and conflict

Abstract Smart, technologically managed city-regions are one of the main characteristics of the contemporary world. Since the attack to the Charlie Hebdo offices, city-regions and social media digital technologies have increasingly been changing the definition of 'territory of security' and 'security governance'. What are the characteristics of the security architecture created by the interaction of smart city-regions and digital technologies? Drawing from Actor-Network theory and Science and Technology Studies, we provide an empirical account of the shape of this new territory, by presenting a study of the controversy concerning security and social media in UK, the role of cities in this changed security space, and how social sciences can help better understand and respond to the opportunities and threats of smart cities

Five sepharose-bound ligands for the chromatographic purification of Clostridium collagenase and clostripain

Social media data have provoked a mixed response from researchers. While there is great enthusiasm for this new source of social data – Twitter data in particular – concerns are also expressed about their biases and unknown provenance and, consequently, their credibility for social research. This article seeks a middle path, arguing that we must develop better understanding of the construction and circulation of social media data to evaluate their appropriate uses and the claims that might be made from them. Building on sociotechnical approaches, we propose a high-level abstraction of the ‘pipeline’ through which social media data are constructed and circulated. In turn, we explore how this shapes the populations and samples that are present in social media data and the methods that generate data about them. We conclude with some broad principles for supporting methodologically informed social media research in the future

Conceptualizing a distributed, multi-scalar global public sphere through activist communication practices in the World Social Forum

This article contributes to debate about how to conceptualize the global public sphere. Drawing on media practice theory and ethnographic research on media activism in the World Social Forum, it shows how ‘global publics’ can be constituted through a diverse range of activist communication practices that complicate both conventional hierarchies of scale and contemporary theorizations of publics as personalized networks. It develops an understanding of the global public sphere as an emergent formation made up of multiple, interlinked publics at different scales and emphasizes the significance of collective communication spaces for actors at the margins of the global network society

Resisting big data exploitations in public healthcare: free riding or distributive justice?

We draw on findings from qualitative interviews with health data researchers, GPs and citizens who opted out from NHS England's care.data programme to explore controversies and negotiations around data sharing in the NHS. Drawing on theoretical perspectives from science and technology studies, we show that the new socio-technical, ethical and economic arrangements were resisted not only on the basis of individual autonomy and protection from exploitation, but also as a collective effort to protect NHS services and patient data. We argue that the resulting opt-outs were a call for more personal control over data uses. This was not because these citizens placed their personal interests above those of society. It was because they resisted proposed arrangements by networks of stakeholders, not seen as legitimate, to control flows and benefits of NHS patient data. Approaching informed consent this way helps us to explore resistance as a collective action for influencing the direction of such big data programmes towards the preservation of public access to healthcare as well as the distribution of ethical decision-making between independent, trustworthy institutions and individual citizens