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Heresthetics in ballot proposition arguments

An investigation of California citizen initiative rhetoric

Bibliographic Data

ID6085204
AuthorsChad Murphy (0009-0002-6713-3898), Curt Burge, Martin Johnson (0000-0002-4706-8294), Shaun Bowler (0000-0002-0739-6090)
Year2012
Volume11
Issue1
Pages135-156
Publication date2012-04-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Language and Politics (JOURNAL)
Journal identifiersISSN: 1569-2159 • E-ISSN: 1569-9862
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/jlp.11.1.07mur
OpenAlexW2001314492
LanguageEN
Citations received3
References cited15

Political actors typically use language with the goal of persuading an audience. But what shapes the use of language in political settings? Is it differences between ideologues — liberals and conservatives — that change language use? Or is it support or opposition to the issue? Using techniques adapted from cognitive psychology we examine arguments used in ballot proposition elections and show them to exhibit systematic patterns in line with the theoretical arguments of Riker (1996). The actor’s choice of issue position — for or against — can be seen to imply that the arguments they advance in support of their position are constrained. More specifically, we show that arguments in support of propositions are consistently similar to each other and consistently dissimilar from arguments against a proposal in language use. These patterns of similarity and dissimilarity persist across a wide range of issues and actors. Identification of these patterns helps explain a persistent empirical regularity within ballot proposition politics: the advantage held by “NO” campaigns

Ballot · Economics · Epistemology · Ideology · Opposition (politics · Political science · Politics · Position (finance · Positive economics · Proposition · Similarity (geometry · Sociology · Voting · Computer Science · Discourse Analysis in Language Studies · Electoral Systems and Political Participation · Psychology · Social Media and Politics · Artificial Intelligence · Law · Social Psychology

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Unique citing works3
Citations per year0,23
Citation span2013 - 2015 (3)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

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