Money as an existential anxiety buffer: Exposure to money prevents mortality reminders from leading to increased death thoughts
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A large body of terror management research revealed the pursuit of materialistic value and consumption as potential death anxiety buffers in capitalist societies.
“A large body of terror management research revealed the pursuit of materialistic value and consumption as potential death anxiety buffers in capitalist societies (Gasiorowska et al., 2018).”
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Jin, S. V., & Ryu, E. (2022) · Journal of Consumer Affairs · doi:10.1111/joca.12381 · Cited by 52 · see citing works
Death primes in advertisements: how international advertisers can ensure their message is effective
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- Authors
- Gasiorowska, A., Zaleskiewicz, T., & Kesebir, P.
- Affiliations
- University of Wisconsin–Madison (US)
- ORCID
- Kesebir, Pelin
- Venue
- Journal of Experimental Social Psychology
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 79
- Pages
- 394-409
- ISSN
- 0022-1031 (ISSN-L)
- OpenAlex
- W2893524675
- Cited by
- 42
- References
- 25
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 10 · 2023: 5 · 2022: 5 · 2021: 8 · 2020: 4 · 2019: 3
- FWCI
- 5.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Experimental Social Psychology (publishedVersion)
- Funders
- National Science Centre (DEC-2012/07/B/HS6/02580, DEC-2013/11/B/HS6/01316)
- Topics
- Social Sciences › Psychology › Social Psychology › Death Anxiety and Social Exclusion
- Social Sciences › Anthropology › Death, Funerary Practices, and Mourning
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- mortality salience, fear of death, existential anxiety, self-esteem, self-worth, death thoughts, cross-cultural comparison, Poland, United States
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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.
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