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.

Introduces a framework for employing digital trace data in the analysis of political and social phenomena Presents an analysis of political campaigns and public opinion based on digital trace data Provides a detailed template for the quantitative and qualitative analysis of digital trace data in the context of political campaigns

Autorentext

Andreas Jungherr is a research fellow at the Chair of Political Psychology at the University of Mannheim, Germany. His research focuses on the use of digital trace data in the social sciences and the effects of the Internet on political communication and electoral campaigns. His research has been published in Journal of Communication, Internet Research and Social Science Computer Review.

Inhalt
Introduction: How to use Twitter in the Social Sciences.- Twitter, Usage and Research.- Twitter in the Analysis of Social Phenomena: An Interpretative Framework.- Twitter as Political Communication Space: Publics, Prominent Users and Politicians.- Sensor of Attention to Politics.- The Media Connection.- Predictor of Electoral Success and Public Opinion at Large.- Conclusion: Twitter and the Analysis of Social Phenomena.