liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Argument-inconsistency in charity appeals: Statistical information about the scope of the problem decrease helping toward a single identified victim but not helping toward many non-identified victims in a refugee crisis context
Linköping University, Department of Behavioural Sciences and Learning, Psychology. Linköping University, Faculty of Arts and Sciences. Lund University, Sweden.
Linköping University, Department of Behavioural Sciences and Learning, Psychology. Linköping University, Faculty of Arts and Sciences. University of Oregon, OR 97403 USA.
Lund University, Sweden.
University of Oregon, OR 97403 USA.
2016 (English)In: Journal of Economic Psychology, ISSN 0167-4870, E-ISSN 1872-7719, Vol. 56, 126-140 p.Article in journal (Refereed) Published
Abstract [en]

It is known that both the characteristics of the victims one can help and the existence of victims one cannot help influence economic helping decisions in suboptimal ways. The aim of this study was to systematically test if these two aspects interact with each other. In Studies 1 and 2, we created hypothetical charity appeals related to the Syrian refugee crisis and factorially manipulated characteristics of victims possible to help (one identified child/nine non-identified children) and presence of statistical information about the scope and nature of the problem (information-box absent/present). We found a significant interaction effect both when using self-rated helping intention (Study 1), and when using actual donation behavior as the dependent variable (Study 2). Statistical information decreased helping intentions toward a single identified child but had no, or even a small positive effect on helping nine non-identified children. In Study 3, non-student participants reading a charity appeal with both a story about one identified child and statistical information donated less often than participants reading appeals with either only a story about one identified child or only statistical information. We suggest that both emotional arguments (e.g., a story and picture of an identified child in need) and analytical arguments (e.g., detailed statistical information about the scope and nature of the problem) can make us more motivated to help refugees, but that mixing different argument-types can make charity appeals internally inconsistent and decrease donations. (C) 2016 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2016. Vol. 56, 126-140 p.
Keyword [en]
Charity appeals; Helping refugees; Identified victim effect; Pseudoinefficacy; Anticipated warm glow; Argument-inconsistency
National Category
Applied Psychology
Identifiers
URN: urn:nbn:se:liu:diva-131876DOI: 10.1016/j.joep.2016.06.007ISI: 000383310000010OAI: oai:DiVA.org:liu-131876DiVA: diva2:1036440
Note

Funding Agencies|National Science Foundation [SES-1227729, SES-1427414]; Riksbankens Jubilemsfond (RJ); Swedish Research Council (VR)

Available from: 2016-10-13 Created: 2016-10-11 Last updated: 2017-11-29

Open Access in DiVA

The full text will be freely available from 2018-06-30 10:53
Available from 2018-06-30 10:53

Other links

Publisher's full text

Search in DiVA

By author/editor
Erlandsson, ArvidVästfjäll, Daniel
By organisation
PsychologyFaculty of Arts and Sciences
In the same journal
Journal of Economic Psychology
Applied Psychology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 48 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf