​This contributed volume gives access to semiotic researches adopting a quantitative stance. European semiotics is traditionally based on immanent methodologies: meaning is seen as an autonomous dimension of human existence, whose laws can be investigated via purely qualitative analytical and reflexive analysis. Today, researches crossing disciplinary boundaries reveal the limitations of such an homogeneous practice. In particular, two families of quantitative research strategies can be identified. On the one hand, researchers wish to naturalize meaning, by making semiotic results interact with those coming from Neurophysiological and psychological sciences. On the other hand, statistical and computational tools are adopted to work on linguistic and multimedia corpora. The book acts to put the two approaches into dialogue.

`This excellent text will introduce advanced students - and remind senior researchers - of the availability of a broad range of techniques available for the systematic analysis of social data that is not numeric. It makes the key point that neither quantitative nor qualitative methods are interpretive and at the same time demonstrates once and for all that neither a constructivist perspective nor a qualitative approach needs to imply abandonment of rigor. That the chapters are written by different authors makes possible a depth of expertise within each that is unusually strong' - Susanna Hornig Priest, Texas A&M University; Author of `Doing Media Research' Qualitative Researching with Text, Image and Sound off

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards? In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data. Drawing on more than a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.

The book is an in-depth presentation of the European branch of semiotic theory, originating in the work of Ferdinand de Saussure. It has four parts: a historical introduction, the analysis of langue, narrative theory and communication theory. Part I briefly presents all the semiotic schools and their main points of reference. Although this material is accessible in many other Anglophone publications, the presentation is marked by specific choices aiming to display similarities and differences. The analysis of langue in Part II is also available in Anglophone bibliography, but the book presents Saussurean theory according to a new theoretical rationale and enriched with later developments. In addition, it is orientated so as to offer the foundation for the part that follows. Part III is a presentation of Greimasian narrative theory, well documented in Francophone bibliography but poorly represented in Anglophone publications. The presentation extends the theory in both a qualitative and a new quantitative direction, and includes a great number of examples and two extended textual analyses to help the reader understand and apply it. Part IV, communication theory, combines an extension of Greimasian sociosemiotics with other schools of thought. This original theoretical section discusses fourteen consecutive communication models, the synthesis of which results in a holistic, social semiotic theory of communication.

Original, fresh and relevant this is a theoretically-informed practical guide to researching social relations. The text provides a mixed methods approach that challenges historical divisions between quantitative and qualitative research. It adopts a multidisciplinary approach to social science research, drawing from areas such as sociology, social psychology and social anthropology. Explicitly addressing the concerns of emergent researchers it provides both a ′how to′ account of social research and an understanding of the main factors that contextualize research by discussing ′why do′ social scientists work this way. Throughout the twelve comprehensive chapters procedural (how to) accounts and contextual (why do) issues are usefully applied to major themes and substantive questions. These key themes include: (1) Research design (2) The practices of research and emergent researchers: Beyond ontology, epistemology and methodology (3) The impact of technology on research (4) Putting the research approach in context. A superb teaching text this book will be relished by lecturers seeking an authoritative introduction to social research and by students who want an accessible, enriching text to guide and inspire them.

The Handbook of Visual Analysis is a rich methodological resource for students, academics, researchers and professionals interested in investigating the visual representation of socially significant issues. The Handbook: Offers a wide-range of methods for visual analysis: content analysis, historical analysis, structuralist analysis, iconography, psychoanalysis, social semiotic analysis, film analysis and ethnomethodology Shows how each method can be applied for the purposes of specific research projects Exemplifies each approach through detailed analyses of a variety of data, including, newspaper images, family photos, drawings, art works and cartoons Includes examples from the authors' own research and professional practice The Handbook of Visual Analysis, which demonstrates the importance of visual data within the social sciences offers an essential guide to those working in a range of disciplines including: media and communication studies, sociology, anthropology, education, psychoanalysis, and health studies.