Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 156

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Emotionality Differences Between a Native and Foreign Language: Implications for Everyday Life

Caldwell-Harris, Catherine L.·2015·Current Directions in Psychological Science
DOI 10.1177/0963721414566268
Open this paper in CoChat — free account

Abstract

A growing literature examines how affective processing may be weaker in a foreign language than in a native language. This article reviews mechanisms that could underlie this effect and then delves into practical implications. The most common category of explanations is that emotional resonances in the discourse context accrue to utterances because human memory is inherently associative. One application concerns forensic investigations. Compared to emotional phrases in a native language, emotional phrases heard or read in a foreign language elicit weaker skin-conductance responses (SCRs). In one study involving a mock crime, SCRs elicited by a foreign language were high and insensitive to emotionality, suggesting a stress response. A second application is decision making, given recent findings that judgments in a foreign language are influenced by emotional content. This raises the question of how to assess the real-world importance of this provocative laboratory finding. A third application is the emotional and logical appeal of advertising slogans. In multilingual regions, marketers could direct appeals to consumers in their native language to sell luxury items. In contrast, ads using a less proficient or foreign language may be most effective for selling items that will increase work productivity.

Overview

Integrity signals

Registry

Crossref · 10.1177/0963721414566268

Cites

43 of 43 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 2

  1. Caldwell-Harris C.L., Sanchez N., Nayak N. (2014). When early and late bilinguals lie: Skin conductance responses during a deception task. Boston University Psycholinguistics Laboratory Working Papers. Retrieved from https://www.academia.edu/12158603/When_early_and_late_bilinguals_lie
  2. 10.1037/0096-3445.129.3.361 · doi:10.1037/0096-3445.129.3.361 · Paper page

Cited by

See all 156

Metadata

Authors
Caldwell-Harris, C. L.
Affiliations
Department of Brain and Psychological Sciences, Boston University
Venue
Current Directions in Psychological Science
Publisher
SAGE Publications
Published
2015-06
Volume
24
Issue
3
Pages
214-219
ISSN
  • 0963-7214
  • 1467-8721
DOI
10.1177/0963721414566268
Cited by
156
References
43
Language
en
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

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.