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Event construal and temporal distance in natural language

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Bhatia, Sudeep and Walasek, Lukasz (2016) Event construal and temporal distance in natural language. Cognition, 152 . pp. 1-8. doi:10.1016/j.cognition.2016.03.011

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Official URL: http://dx.doi.org/10.1016/j.cognition.2016.03.011

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Abstract

Construal level theory proposes that events that are temporally proximate are represented more concretely than events that are temporally distant. We tested this prediction using two large natural language text corpora. In study 1 we examined posts on Twitter that referenced the future, and found that tweets mentioning temporally proximate dates used more concrete words than those mentioning distant dates. In study 2 we obtained all New York Times articles that referenced U.S. presidential elections between 1987 and 2007. We found that the concreteness of the words in these articles increased with the temporal proximity to their corresponding election. Additionally the reduction in concreteness after the election was much greater than the increase in concreteness leading up to the election, though both changes in concreteness were well described by an exponential function. We replicated this finding with New York Times articles referencing US public holidays. Overall, our results provide strong support for the predictions of construal level theory, and additionally illustrate how large natural language datasets can be used to inform psychological theory.

Item Type: Journal Article
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Faculty of Social Sciences > Warwick Business School > Behavioural Science
Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Language and languages, Computational linguistics, Big data
Journal or Publication Title: Cognition
Publisher: Elsevier
ISSN: 0010-0277
Official Date: July 2016
Dates:
DateEvent
July 2016Published
22 March 2016Available
11 March 2016Accepted
Volume: 152
Number of Pages: 8
Page Range: pp. 1-8
DOI: 10.1016/j.cognition.2016.03.011
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Funder: Economic and Social Research Council (Great Britain) (ESRC), Leverhulme Trust (LT)
Grant number: ES/K002201/1 (ESRC), RP2012-V-022 (LT)

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