Analyzing Political Communication with Digital Trace Data

The Role of Twitter Messages in Social Science Research

  • Andreas Jungherr
Part of the Contributions to Political Science book series (CPS)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Andreas Jungherr
    Pages 11-23
  3. Andreas Jungherr
    Pages 107-154
  4. Andreas Jungherr
    Pages 155-188

About this book

Introduction

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.

Keywords

Big Data Computational Social Science Digital Media Digital Trace Data Political Communication Twitter

Authors and affiliations

  • Andreas Jungherr
    • 1
  1. 1.University of MannheimMannheimGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-20319-5
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Humanities, Social Sciences and Law
  • Print ISBN 978-3-319-20318-8
  • Online ISBN 978-3-319-20319-5
  • Series Print ISSN 2198-7289
  • Series Online ISSN 2198-7297
  • About this book