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Analyzing political communication wi...

Jungherr, Andreas.

Analyzing political communication with digital trace datathe role of Twitter messages in social science research /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Analyzing political communication with digital trace databy Andreas Jungherr.
Reminder of title:	the role of Twitter messages in social science research /
Author:	Jungherr, Andreas.
Published:	Cham :Springer International Publishing :2015.
Description:	xxi, 220 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Communication in politicsTechnological innovations
Online resource:	http://dx.doi.org/10.1007/978-3-319-20319-5
ISBN:	9783319203195 (electronic bk.)

Analyzing political communication with digital trace datathe role of Twitter messages in social science research /
Jungherr, Andreas.

Analyzing political communication with digital trace datathe role of Twitter messages in social science research /[electronic resource] :by Andreas Jungherr. - Cham :Springer International Publishing :2015. - xxi, 220 p. :ill., digital ;24 cm. - Contributions to political science,2198-7289. - Contributions to political science..

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.

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.

ISBN: 9783319203195 (electronic bk.)

Standard No.: 10.1007/978-3-319-20319-5doiSubjects--Uniform Titles:

Twitter
--Political aspects.Subjects--Topical Terms:

726760
Communication in politics
--Technological innovations

LC Class. No.: JA85

Dewey Class. No.: 320.014

Analyzing political communication with digital trace datathe role of Twitter messages in social science research /
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505 0 $a 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.
520 $a 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.
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