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Text Mining for Qualitative Data Analysis in the Social Sciences
Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of “democratic demarcation” in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing.
Political Communication in the Online World
As a consequence of the rapid diffusion of online media, the conditions for political communication, and research concerning it have radically changed. Is empirical communication research capable of consistently describing and explaining the changes in political communication in the online world both from a theoretical and methodological perspective? In this book, Gerhard Vowe, Philipp Henn, and a group of leading international experts in the field of communication studies guide the reader through the complexities of political communication, and evaluate whether and to what extent existing theoretical approaches and research designs are relevant to the online world. In the first part of the ...
Counterspeech
This volume looks at the forms and functions of counterspeech as well as what determines its effectiveness and success from multidisciplinary perspectives. Counterspeech is in line with international human rights and freedom of speech, and it can be a much more powerful tool against dangerous and toxic speech than blocking and censorship. In the face of online hate speech and disinformation, counterspeech is a tremendously important and timely topic. The book uniquely brings together expertise from a variety of disciplines. It explores linguistic, ethical and legal aspects of counterspeech, looks at the functions and effectiveness of counterspeech from anthropological, practical and sociolog...
Social Informatics
The two-volume set LNCS 11185 + 11186 constitutes the proceedings of the 10th International Conference on Social Informatics, SocInfo 2018, held in Saint-Petersburg, Russia, in September 2018. The 30 full and 32 short papers presented in these proceedings were carefully reviewed and selected from 110 submissions. They deal with the applications of methods of the social sciences in the study of socio-technical systems, and computer science methods to analyze complex social processes, as well as those that make use of social concepts in the design of information systems.
Scalable and Efficient Probabilistic Topic Model Inference for Textual Data
Probabilistic topic models have proven to be an extremely versatile class of mixed-membership models for discovering the thematic structure of text collections. There are many possible applications, covering a broad range of areas of study: technology, natural science, social science and the humanities. In this thesis, a new efficient parallel Markov Chain Monte Carlo inference algorithm is proposed for Bayesian inference in large topic models. The proposed methods scale well with the corpus size and can be used for other probabilistic topic models and other natural language processing applications. The proposed methods are fast, efficient, scalable, and will converge to the true posterior d...
Inspecting the Interview
Interviews are omnipresent in scholarship and public discourses. They play a crucial role in various spheres, from collecting research data to providing persons in the public eye a platform in print and online media. Interviews do not only capture a dialogue; they provide a framework in which dialogue gets staged. As such a framework, the interview protocols experiential knowledge and personal experience in certain ways, according interlocutors different degrees of authority to speak. The volume contributes state-of-the-art research on what conclusions can be drawn from these and further reflections for a general assessment of the interview as method and form; it offers fundamental conceptualizations of the interview as a structured and mediated site of knowledge production. Theoreticians and practitioners assembled here conceptualize the interview from perspectives in different fields of the humanities and social sciences such as linguistics, literary and cultural studies, musicology, psychology, and philosophy.
Digitised Newspapers – A New Eldorado for Historians?
The application of digital technologies to historical newspapers has changed the research landscape historians were used to. An Eldorado? Despite undeniable advantages, the new digital affordance of historical newspapers also transforms research practices and confronts historians with new challenges. Drawing on a growing community of practices, the impresso project invited scholars experienced with digitised newspaper collections with the aim of encouraging a discussion on heuristics, source criticism and interpretation of digitized newspapers. This volume provides a snapshot of current research on the subject and offers three perspectives: how digitisation is transforming access to and expl...
At the Edge of AI
How are human computation systems developed in the field of citizen science to achieve what neither humans nor computers can do alone? Through multiple perspectives and methods, Libuse Hannah Veprek examines the imagination of these assemblages, their creation, and everyday negotiation in the interplay of various actors and play/science entanglements at the edge of AI. Focusing on their human-technology relations, this ethnographic study shows how these formations are marked by intraversions, as they change with technological advancements and the actors' goals, motivations, and practices. This work contributes to the constructive and critical ethnographic engagement with human-AI assemblages in the making.
Quantifying Approaches to Discourse for Social Scientists
This book provides an overview of a range of quantitative methods, presenting a thorough analytical toolbox which will be of practical use to researchers across the social sciences as they face the challenges raised by new technology-driven language practices. The book is driven by a reflexive mind-set which views quantifying methods as complementary rather than in opposition to qualitative methods, and the chapters analyse a multitude of different intra- and extra-textual context levels essential for the understanding of how meaning is (re-)constructed in society. Uniting contributions from a range of national and disciplinary traditions, the chapters in this volume bring together state-of-the-art research from British, Canadian, French, German and Swiss authors representing the fields of Political Science, Sociology, Linguistics, Computer Science and Statistics. It will be of particular interest to discourse analysts, but also to other scholars working in the digital humanities and with big data of any kind.
