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https://doi.org/10.1080/09644008.2016.1182502

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If You Don't Know Me by Now: Explaining Local Candidate Recognition

[journal article]

Giebler, Heiko
Weßels, Bernhard

Abstract

For the personal vote to be cast in a meaningful way it is a minimal condition that voters recognise candidates. However, from earlier studies we know that there is huge variation in the number of candidates recognised. Little to nothing is known about candidate recognition and its determinants. Thi... view more

For the personal vote to be cast in a meaningful way it is a minimal condition that voters recognise candidates. However, from earlier studies we know that there is huge variation in the number of candidates recognised. Little to nothing is known about candidate recognition and its determinants. This study explores the sources of candidate recognition from three different angles: candidates; citizens; and context. Furthermore, it enables the distinction of campaign-related from other factors. A unique multi-level within-subject design was set up for the analyses of the 2013 German Federal Election to ensure a meaningful validation of our theoretical framework. Our results suggest that, indeed, many factors lead to recognition but as well that earlier studies overestimated the effects of political interest or incumbency status. Moreover, we show that a good campaign makes a difference for recognition – as does the context in which it takes place.... view less

Keywords
candidacy; voting behavior; election campaign; Federal Republic of Germany

Classification
Political Process, Elections, Political Sociology, Political Culture

Free Keywords
German Longitudinal Election Study (GLES), Kandidatenstudie 2013 (ZA5716 Datenfile Version 3.0.0, 10.4232/1.12043; ZA5702 Datenfile Version 2.0.0, 10.4232/1.12064)

Document language
English

Publication Year
2017

Page/Pages
p. 149-169

Journal
German Politics, 26 (2017) 1

Handle
http://hdl.handle.net/10419/250901

ISSN
1743-8993

Status
Postprint; peer reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.