Seeing victims through the lens of belief in a just world: Evidence from the reverse correlation method

Abstract Victim blaming is a significant barrier to justice for survivors of interpersonal violence. Belief in a just world (BJW), the belief that people generally get what they deserve, is a key driver of this problem. Using the reverse correlation method, we examined associations among BJW, implicit mental representations and explicit victim blaming. Generation‐phase participants ( N = 149) completed measures of four BJW dimensions (personal, general, immanent and ultimate) and explicit victim blaming, then generated implicit mental representations of victims using the reverse correlation method. Evaluation‐phase participants ( N = 249) evaluated the trait ratings of the classification images. Personal and general BJW were associated with implicit mental representations rated lower in competence, warmth and attractiveness. Immanent BJW was associated with lower warmth. Ultimate BJW showed no associations with implicit mental representations. Notably, BJW was not associated with explicit victim blaming. Implicit mental representations were not associated with explicit victim blaming. These findings reveal a multilevel dissociation in which BJW is associated with implicit mental representations but not explicit victim blaming, suggesting that justice beliefs operate at implicit levels of processing that do not necessarily manifest in explicit judgements. This extends just world theory beyond its traditional focus on explicit victim blaming.

Authors

Institutions

Publication Details

Journal
Asian Journal Of Social Psychology
Published
2026-10-26
DOI
https://doi.org/10.1111/ajsp.70106
Primary Topic
Social and Intergroup Psychology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seeing victims through the lens of belief in a just world: Evidence from the reverse correlation method

Ryuji Oguni, Aya Murayama, Masayoshi Nagai, Keita Suzuki
Asian Journal Of Social Psychology
Social and Intergroup Psychology
article

Seeing victims through the lens of belief in a just world: Evidence from the reverse correlation method

Ryuji Oguni, Aya Murayama, Masayoshi Nagai, Keita Suzuki
article en

Abstract

Abstract Victim blaming is a significant barrier to justice for survivors of interpersonal violence. Belief in a just world (BJW), the belief that people generally get what they deserve, is a key driver of this problem. Using the reverse correlation method, we examined associations among BJW, implicit mental representations and explicit victim blaming. Generation‐phase participants ( N = 149) completed measures of four BJW dimensions (personal, general, immanent and ultimate) and explicit victim blaming, then generated implicit mental representations of victims using the reverse correlation method. Evaluation‐phase participants ( N = 249) evaluated the trait ratings of the classification images. Personal and general BJW were associated with implicit mental representations rated lower in competence, warmth and attractiveness. Immanent BJW was associated with lower warmth. Ultimate BJW showed no associations with implicit mental representations. Notably, BJW was not associated with explicit victim blaming. Implicit mental representations were not associated with explicit victim blaming. These findings reveal a multilevel dissociation in which BJW is associated with implicit mental representations but not explicit victim blaming, suggesting that justice beliefs operate at implicit levels of processing that do not necessarily manifest in explicit judgements. This extends just world theory beyond its traditional focus on explicit victim blaming.

Asian Journal Of Social PsychologyVol. 29(4)
Shujitsu University (JP), Ritsumeikan University (JP), The University of Tokyo (JP)
Japan Society for the Promotion of Science
Peace, justice, and strong institutions
Openalex Percentile: Top 37%
Social and Intergroup Psychology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon