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Big Data and Democracy$
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Kevin Macnish and Jai Galliott

Print publication date: 2020

Print ISBN-13: 9781474463522

Published to Edinburgh Scholarship Online: September 2021

DOI: 10.3366/edinburgh/9781474463522.001.0001

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PRINTED FROM EDINBURGH SCHOLARSHIP ONLINE (www.edinburgh.universitypressscholarship.com). (c) Copyright Edinburgh University Press, 2022. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in ESO for personal use.date: 06 July 2022

Twitter and Electoral Bias

Twitter and Electoral Bias

Chapter:
(p.89) Six Twitter and Electoral Bias
Source:
Big Data and Democracy
Author(s):

Wulf Loh

Anne Suphan

Christopher Zirnig

Publisher:
Edinburgh University Press
DOI:10.3366/edinburgh/9781474463522.003.0007

In this chapter, the authors introduce functional criteria along Habermasian lines for the role of public spheres in a healthy democracy and apply research from the use of Twitter during the last German general election to describe the influence (or lack thereof) of social media on the electoral process. In particular, the authors discuss the workings of various digital divides and highlight their impact on online participation in these elections.

Keywords:   Deliberative Democracy, Digital Divide, Election, Habermas, Politics, Social Media, Twitter

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