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Electoral Studies
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Electoral Studies
Article
License: CC BY
Data sources: UnpayWall
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Young trendsetters: How young voters fuel electoral volatility

Authors: Roderik Rekker;

Young trendsetters: How young voters fuel electoral volatility

Abstract

Sociological theory posits that social change occurs first and foremost among young people, who set trends that may eventually carry over to older citizens. This study examined to what extent this proposition applies to electoral shifts by comparing parties’ electoral gains among young (age <25) and older voters (age >24) in 21 Western established democracies between 1948 and 2019. An analysis of 219 national election surveys revealed that winning parties typically gained disproportionately among young voters. This youth bonus was even stronger for new parties, whose electoral breakthroughs were importantly facilitated by youths. Electoral shifts among young voters furthermore predicted similar changes among older citizens in the subsequent election. This in- dicates that young people are not only more sensitive to electoral trends, but that they can also set trends that eventually carry over to older citizens. Young voters should therefore be seen as important drivers of electoral volatility.

Country
Netherlands
Related Organizations
Keywords

politische Willensbildung, politische Soziologie, politische Kultur, junger Erwachsener, 330, Politikwissenschaft, young voters; electoral volatility; new parties; Politbarometer, Partei, Generation, politischer Wandel, political change, 320, Wähler, trend, generation, Trend, young adult, Alter, party, Political Process, Elections, Political Sociology, Political Culture, Political science, voter, old age, ddc: ddc:320

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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