Voter Targeting Online in Comparative Perspectives: Political Party Websites in the 2008/2009 and 2013 Austrian and German Election Campaigns

IF 1.9 Q2 POLITICAL SCIENCE
U. Russmann
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引用次数: 8

Abstract

The web allows political parties to segment and microtarget specific groups of voters. This paper seeks to measure voter targeting online focusing on catch-all parties and client parties’ websites during the 2008 and 2013 Austrian general elections and the 2009 and 2013 German federal elections. Thereby, this comparative longitudinal analysis also aims to provide insights into the development process of political targeting strategies. From a theoretical perspective, catch-all parties try to appeal to a diverse spectrum of potential voters, whereas client parties are aiming at a more specific type of voter. The results of the content analysis show that (a) information and services on parties’ websites increasingly focus on addressing the general public and (b) differences between catch-all and client parties have been reduced between campaigns.
比较视角下的在线选民目标:2008/2009年和2013年奥地利和德国大选中的政党网站
网络允许政党对特定的选民群体进行细分和微观定位。本文旨在衡量2008年和2013年奥地利大选以及2009年和2013年间德国联邦选举期间的在线选民定位,重点关注所有政党和客户政党的网站。因此,这种比较纵向分析也旨在深入了解政治目标战略的发展过程。从理论角度来看,包罗万象的政党试图吸引各种各样的潜在选民,而客户政党的目标是更特定类型的选民。内容分析的结果表明,(a)各方网站上的信息和服务越来越侧重于面向公众,(b)各活动之间包罗万象和客户方之间的差异有所减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Political Marketing
Journal of Political Marketing POLITICAL SCIENCE-
CiteScore
4.10
自引率
8.30%
发文量
15
期刊介绍: The Journal of Political Marketing aims to be the leading scholarly journal examining the latest developments in the application of marketing methods to politics. As the political world becomes more complex and interwoven, it is imperative for all interested parties to stay abreast of “cutting edge” tools that are used in unique and different ways in countries around the world. The journal goes beyond the application of advertising to politics to study various strategic marketing tools such as: Voter segmentation Candidate positioning Use of multivariate statistical modeling to better understand the thinking and choices made by voters.
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