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Cited by 287

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Influencing attitudes toward near and distant objects

Open access
Fujita, Kentaro, Eyal, Tal, Chaiken, Shelly, Trope, Yaacov, Liberman, Nira·2008·Journal of Experimental Social Psychology

Abstract

It is argued that the temporal distance of attitude objects systematically changes how the object is mentally represented, and thus influences the strength of particular persuasive appeals. Three experiments tested the hypothesis that people preferentially attend to arguments that highlight primary, abstract (high-level) vs. incidental, concrete (low-level) features when attitude objects are temporally distant vs. near. Results suggested that when attitude objects are temporally distant vs. near, arguments emphasizing primary vs. secondary features (Study 1), desirability vs. feasibility features (Study 2), and general classes vs. specific cases are more persuasive (Study 3). The relation of construal theory to dual process theories of persuasion and persuasion phenomena, such as personal relevance effects and functional matching effects, are discussed.

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Crossref · 10.1016/j.jesp.2007.10.005

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Metadata

Authors
Fujita, K., Eyal, T., Chaiken, S., Trope, Y., & Liberman, N.
Venue
Journal of Experimental Social Psychology
Publisher
Elsevier BV
Published
2008-05
Volume
44
Issue
3
Pages
562-572
ISSN
0022-1031 (ISSN-L)
OpenAlex
W2053666387
Cited by
287
References
5
FWCI
22.58
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Influencing attitudes toward near and distant objects. https://app.cochat.ai/papers/10.1016/j.jesp.2007.10.005
The paper
Fujita, K., Eyal, T., Chaiken, S., Trope, Y., & Liberman, N. (2008). Influencing attitudes toward near and distant objects. Journal of Experimental Social Psychology. https://doi.org/10.1016/j.jesp.2007.10.005

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.