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How has convergence affected news and translation? Convergence is a chameleon, taking a new colour in each new context, from the integrated, bilingual newsroom of a legacy broadcaster to a newsroom in an outlet that has embraced multimodality from the very start. And yet, translation scholars studying the news have ignored convergence, while media scholars studying convergence have ignored translation. They have missed the fact that convergence is intrinsically linked to language and culture. This volume brings together translation and media scholars to investigate different modes of convergence across platforms as they shape how journalists frame stories and understand their role in a multilingual, convergent world. It opens a dialogue with scholars and students in applied linguistics, communication, journalism, languages, and translation, as well as translators, interpreters, and, ultimately, journalists.
The digital infrastructure of media production, dissemination and consumption is becoming increasingly complex, presenting the challenge of how we should research the digital journalism environment. Digital journalism takes many forms – we therefore need to revise, improve, adjust and even invent methods to understand emerging forms of journalism. In this book, scholars at the forefront of methodological innovations in digital journalism research share their insights on how to collect, process and analyse the diverse expressions of digital journalism, including online news, search results, hyperlinks and social media posts. As digital journalism content often comes in the form of big data,...
Analyzes the effects of globalization on the restructuring of politics in Western Europe over the past three decades.
The word media hype is often used as rhetorical argument to dismiss waves of media attention as overblown, disproportional and exaggerated. But these explosive news waves, as well as - nowadays - the twitter storms, are object of scientific research, because they are an important phenomenon in the public area. Sometimes it is indeed 'much ado about nothing' but in many cases these media storms have play an important role in political issues, scandals and crises. Twitter storms sometimes ruin reputations within hours. Although different concepts are used, such as media hypes, news waves, media storms, information cascades or risk amplification, all the studies in this book refer to the same process in which key events trigger a chain of reactions and interactions, building up huge news waves in the media or rapidly spreading social epidemics in the social media. This book offers the first comprehensive overview of this important topic. It is not only interesting for scholars and students in media and journalism, but also for professionals in PR and communication, crisis communication and reputation management.
The personalization of politics, whereby politicians increasingly become the main focus of political processes, is a prominent phenomenon in modern democracies that has received considerable scholarly attention in national politics. However, little is known about the scope, causes and consequences of personalization in European Union politics, although recent institutional and political developments suggest that such a trend is underway. This book sheds light onto this phenomenon by taking a comprehensive approach to understanding four key dimensions of personalization concerning institutions, media, politics, and citizens. In doing so, it relies on an innovative longitudinal and cross-count...
Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself? This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. C...
Media depictions of Arabs and Muslims continue to be framed by images of camels, belly dancers, and dagger-wearing terrorists. But do only Hollywood movies and TV news have the power to frame public discourse? This interdisciplinary study transfers media framing theory to literary studies to show how life writing (re-)frames Orientalist stereotypes. The innovative analysis of the post-9/11 autobiographies »West of Kabul, East of New York«, »Letters from Cairo«, and »Howling in Mesopotamia« makes a powerful claim to approach literature based on a theory of production and reception, thus enhancing the multi-disciplinary potential of framing theory.
This books describes a number of techniques that have been developed to facilitate Semantic Network Analysis. It describes techniques to automatically extract networks using co-occurrence, grammatical analysis, and sentiment analysis using machine learning. Additionally, it describes techniques to represent the extracted semantic networks and background knowledge about the actors and issues in the network, using Semantic Web techniques to deal with multiple issue categorisations and political roles and functions that shift over time. It shows how this combined network of message content and background knowledge can be queried and visualized to make it easy to answer a variety of research questions. Finally, this book describes the AmCAT infrastructure and iNet coding program for that have been developed to facilitate managing large automatic and manual content analysis projects.
This dissertation addresses the issue of the relation between deviant behavior in agrammatic Broca's aphasia and the theory of grammar. Agrammatic Broca's aphasics have particular difficulties comprehending semantically reversible sentences in which the canonical order of arguments have been inverted.
Provides clear guidance on leveraging computational techniques to answer social science questions In disciplines such as political science, sociology, psychology, and media studies, the use of computational analysis is rapidly increasing. Statistical modeling, machine learning, and other computational techniques are revolutionizing the way electoral results are predicted, social sentiment is measured, consumer interest is evaluated, and much more. Computational Analysis of Communication teaches social science students and practitioners how computational methods can be used in a broad range of applications, providing discipline-relevant examples, clear explanations, and practical guidance. As...