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Language Shapes People's Time Perspective and Support for Future‐Oriented Policies

Bibliographic Data

ID6231042
AuthorsEfrén Pérez (0000-0003-4952-5089, Vanderbilt University), Efrén O Pérez (Vanderbilt University), M Tavits (0000-0002-6443-1550, Washington University in St. Louis)
Year2017
Volume61
Issue3
Pages715-727
Publication date2017-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Journal of Political Science (JOURNAL)
Journal identifiersISSN: 0092-5853 • E-ISSN: 1540-5907
PublisherWiley (PUBLISHER • GB)
DOI10.1111/ajps.12290
OpenAlexW2581551254
LanguageEN
Citations received28
References cited49

Can the way we speak affect the way we perceive time and think about politics? Languages vary by how much they require speakers to grammatically encode temporal differences. Futureless tongues (e.g., Estonian) do not oblige speakers to distinguish between the present and future tense, whereas futured tongues do (e.g., Russian). By grammatically conflating “today” and “tomorrow,” we hypothesize that speakers of futureless tongues will view the future as temporally closer to the present, causing them to discount the future less and support future‐oriented policies more. Using an original survey experiment that randomly assigned the interview language to Estonian/Russian bilinguals, we find support for this proposition and document the absence of this language effect when a policy has no obvious time referent. We then replicate and extend our principal result through a cross‐national analysis of survey data. Our results imply that language may have significant consequences for mass opinion

Affect (linguistics · Estonian · Linguistics · Perspective (graphical · Political science · Politics · Proposition · Referent · Artificial Intelligence · Categorization, perception, and language · Communication · Computer Science · Cultural Differences and Values · Law · Psychology · Social Representations and Identity

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Unique citing works28
Citations per year3,5
Citation span2018 - 2026 (9)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 28

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