"Computational approaches offer exciting opportunities for us to do social science differently. This beginner's guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach, including machine learning and social network analysis, in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Teaches you good habits and working practices that enable you to do programming well. This book is for anyone who wants to use computational methods to conduct a social science research project. Supported by a wealth of online resources, including video tutorials and datasets for practice so you can learn at your own pace, this book equips you with the skills to conduct computational social science research for the first time, with confidence"
Les relations entre les centres de recherche ou groupes de réflexion et leurs bailleurs de fonds sont importantes dans les théories et les discours publics abordant la question de l'orientation politique de la recherche sur les politiques publiques. Pourtant, très peu d'études examinent systématiquement ces relations à travers un ensemble de cas. Cet article, avec des méthodes comparatives et relationnelles, teste les théories élitiste, pluraliste et de terrain, en analysant des données portant sur le financement et l'orientation politique de 30 groupes de réflexion de 2000 à 2011. Les résultats démontrent que les dons provenant de l'étranger contribuent à soutenir certains groupes de réflexions conservateurs, mais ce financement demeure tout de même marginal dans l'ensemble. Au niveau national, les groupes de réflexion sont financés de manière contrastée: les groupes conservateurs sont financés principalement par des donateurs privés, alors que les groupes de réflexion centristes sont financés principalement par l'état. Depuis 2005, les liens entre l'ensemble des groupes de réflexion conservateurs, financés par des donateurs privés, sont devenus plus serrés. En revanche, les liens entre l'ensemble des groupes de réflexion centristes se sont relâchés et leur financement dépend de plus en plus de leurs propres revenus et des intérêts de leurs investissements. Ces résultats laissent planer un certain doute sur les prédictions qui découlent des théories élitiste et pluraliste et confirment en partie les suppositions de la théorie de terrain.The relationships between think tanks and their funders are central to theory and public discourse about the politics of policy knowledge, yet very little research systematically examines these relationships across cases. This article evaluates elite, pluralist, and field theories by analyzing original data on funding and politics for 30 think tanks from 2000 to 2011 with comparative and relational methods. I find that foreign donations help support some conservative think tanks, but that it is a small amount of money relative to other funding sources. Domestically, think tank funding is structured by an opposition between donor‐funded conservatives and state‐funded centrists. Since 2005, the cluster of conservative think tanks funded by private donors has become tighter, while the cluster of think tanks supported by the state has become looser and more reliant on self‐generated revenue and interest and investments. These findings cast doubt on predictions derived from elite and pluralist theories, and offer some support for field theory.
How has English Canadian sociology changed from 1966 to 2014? Has it become more intellectually fragmented or cohesive over time? We answer these questions by analyzing cocitation networks extracted from 7,141 sociology articles published in 169 journals. We show how the most central early specialties developed largely in response to John Porter's The Vertical Mosaic. In later decades, the discipline diversified, fragmented, and then reorganized around a new set of specialties knit together by the work of Pierre Bourdieu. The discipline was most intellectually fragmented in periods where multiple specialties were emerging or declining concurrently (i.e., 1975 to 1984 and 1995 to 2004), and was more structurally cohesive from 2005 to 2014 than in any previous period.Comment est‐ce que la sociologie canadienne‐anglaise a‐t‐elle changé entre 1966 et 2014? Est‐elle devenue plus intellectuellement fragmentée ou cohérente avec le temps? Nous répondons à ces questions en analysant des réseaux de co‐citation qui ont été déduits de 7,141 articles publiés par 169 journaux. Nous démontrons les spécialités primordiales se sont développées en réponse de The Vertical Mosaic de John Porter. Durant les décennies suivantes, la discipline s'est diversifiée, fragmentée et puis s'est réorganisée autour d'une nouvelle série de spécialités liées ensemble par le travail de Pierre Bourdieu. La discipline était la plus intellectuellement fragmentée durant les périodes où plusieurs spécialités émergeaient ou déclinaient concurremment (par exemple de 1975 à 1985 et de 1995 à 2004). Par contre, elle était plus cohérente que tous les autres périodes entre 2005 et 2014.
This book examines the "oil-tourism interface", the broad range of direct and indirect contact points between offshore oil extraction and nature-based tourism. Offshore oil extraction and nature-based tourism are pursued as development paths across the North Atlantic region. Offshore oil promises economic benefits from employment and royalty payments to host societies, but is based on fossil fuel-intensive resource extraction. Nature-based tourism, instead, is based on experiencing natural environments and encountering wildlife, including whales, seals, or seabirds. They share social-ecological space, such as oceans, coastlines, cities and towns where tourism and offshore oil operations and offices are located. However, they rarely share cultural or political space, in terms of media coverage, public debate, or policy discussion that integrates both modes of development. Through a comparative analysis of Denmark, Iceland, Newfoundland and Labrador, Norway, and Scotland, this book offers important lessons for how coastal societies can better navigate relationships between resource extraction and nature-based tourism in the interests of social-ecological wellbeing.
AbstractWhile sociologists have studied social networks for about one hundred years, recent developments in data, technology, and methods of analysis provide opportunities for social network analysis (SNA) to play a prominent role in the new research world of big data and computational social science (CSS). In our review, we focus on four broad topics: (1) Collecting Social Network Data from the Web, (2) Non‐traditional and Bipartite/Multi‐mode Networks, including Discourse and Semantic Networks, and Social‐Ecological Networks, (3) Recent Developments in Statistical Inference for Networks, and (4) Ethics in Computational Network Research.
AbstractRecently, computational social scientists have proposed exciting new methods for 'mapping meaning space' and analysing the structure and evolution of complex cultural constructs from large text datasets. These emerging approaches to 'cultural cartography' are based on a foundation of neural network word embeddings that represent the meaning of words, in relation to one another, as vectors in a shared high‐dimensional latent space. These new methods have the potential to revolutionize sociological analyses of culture, but in their current form, they are dually limited. First, by relying on traditional word embeddings they are limited to learning a single vector representation for each word, collapsing together the diverse semantic contexts that words are used in and which give them their heterogeneous meanings. Second, the vector operations that researchers use to construct larger 'cultural dimensions' from traditional embeddings can result in a complex vector soup that can propagate many small and difficult‐to‐detect errors throughout the cultural analysis, compromising validity. In this article, we discuss the strengths and limitations of computational 'cultural cartography' based on traditional word embeddings and propose an alternative approach that overcomes these limitations by pairing contextual representations learned by newly invented transformer models with Bayesian mixture models. We demonstrate our method of computational cultural cartography with an exploratory analysis of the structure and evolution of 120 years of scholarly discourse on democracy and autocracy.
The internet is changing the way that knowledge is made and shared. Knowledge-making in face-to-face settings is being replaced by information gathering from remote sources, whose origins may be concealed but which can create an illusion of intimacy. Though remote communication is beneficial in many ways – modern societies would fail without it -- and though the tight boundaries of the face-to-face can be used for evil purposes such as criminal conspiracy, if the overall trend to remote communication continues unchecked, it could be disastrous for the future of democracy and the very idea of truth itself. Too much reliance on remote communication threatens the core institutions of democratic societies. We explain the change in technical detail, from a systematic analysis of the workings of the face-to-face to a high level setting-out of its dangerous political implications. The analysis includes field studies, reflexive examination, drawing on the wide experience of the authors, of the stickiness of the face-to-face in our own work and other institutions, and network analysis which explains the illusion of intimacy that can be generated inadvertently or maliciously. We look at the apparent effectiveness of techniques such as blockchain and the limits of their domain. New information is provided about the malicious use of disinformation by foreign powers. We dramatise the dangers to Western pluralist democracy through a personal accounting of the 2020 American election. By drawing out the special features of face-to-face interaction and its constitutive role in creating societies, with science as the icon, the book sets out an agenda for civic education that can protect democratic institutions from the erosion of pluralism and the facile abandonment of trustworthy expertise. The authors conclude by returning to the themes set out at the start of the book, namely the crucial role played by trust in modern societies and the importance of face-to-face interactions in reproducing that trust, and the democratic institutions in which it should be invested.
