Computational Political Communication
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Computational Political Communication
Author: Yannis Theocharis
language: en
Publisher: Taylor & Francis
Release Date: 2024-11-11
The challenge of disentangling political communication processes and their effects has grown with the complexity of the new political information environment. But so have scientists’ toolsets and capacities to better study and understand them. This edited volume focuses on the use of Computational Communication Science (CCS) to address key questions in political communication, highlighting methodological innovations and the theoretical, practical, and institutional challenges in the field. Topics include clickbaiting, propaganda, political polarization, and media framing. The book starts by mapping the challenges and opportunities of data collection and analysis, focusing on computational methods to address theory-driven questions in political communication. Chapters highlight the theoretical, empirical, and institutional aspects of Computational Communication Science (CCS) relevant to the field, assessing the challenges of data requirements, digital signal semantics, and the crucial role of infrastructures, academic institutions, ethics, and training in computational methods. Considering all of these aspects, individual chapters showcase methodological innovations, applying CCS to topics like clickbaiting in the context of propaganda in authoritarian regimes, the visual content produced by political elites, political and affective polarization, and the media coverage of public policy as well as framing in the news media. The volume also offers scholarly contributions on the theoretical, practical, and institutional significance of CCS and the challenges in realizing its potential in political communication. A significant contribution to the field of political communication, this volume will be a key resource for scholars and researchers of communication studies, politics, media studies and sociology. It was originally published in Political Communication.
Analyzing Political Communication with Digital Trace Data
This book offers a framework for the analysis of political communication in election campaigns based on digital trace data that documents political behavior, interests and opinions. The author investigates the data-generating processes leading users to interact with digital services in politically relevant contexts. These interactions produce digital traces, which in turn can be analyzed to draw inferences on political events or the phenomena that give rise to them. Various factors mediate the image of political reality emerging from digital trace data, such as the users of digital services’ political interests, attitudes or attention to politics. In order to arrive at valid inferences about the political reality on the basis of digital trace data, these mediating factors have to be accounted for. The author presents this interpretative framework in a detailed analysis of Twitter messages referring to politics in the context of the 2009 federal elections in Germany. This book will appeal to scholars interested in the field of political communication, as well as practitioners active in the political arena.
Computational Analysis of Communication
Author: Wouter van Atteveldt
language: en
Publisher: John Wiley & Sons
Release Date: 2022-03-10
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. Assuming little or no background in data science or computer linguistics, this accessible textbook teaches readers how to use state-of-the art computational methods to perform data-driven analyses of social science issues. A cross-disciplinary team of authors—with expertise in both the social sciences and computer science—explains how to gather and clean data, manage textual, audio-visual, and network data, conduct statistical and quantitative analysis, and interpret, summarize, and visualize the results. Offered in a unique hybrid format that integrates print, ebook, and open-access online viewing, this innovative resource: Covers the essential skills for social sciences courses on big data, data visualization, text analysis, predictive analytics, and others Integrates theory, methods, and tools to provide unified approach to the subject Includes sample code in Python and links to actual research questions and cases from social science and communication studies Discusses ethical and normative issues relevant to privacy, data ownership, and reproducible social science Developed in partnership with the International Communication Association and by the editors of Computational Communication Research Computational Analysis of Communication is an invaluable textbook and reference for students taking computational methods courses in social sciences, and for professional social scientists looking to incorporate computational methods into their work.