Evidence map›Paper›PMID 36717679›Full record

ArticleScientific reports2023

Deontologists are not always trusted over utilitarians: revisiting inferences of trustworthiness from moral judgments.

Dries H Bostyn, Subramanya Prasad Chandrashekar, Arne Roets

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Beyond Trolleyology: The CNI Model of Moral-Dilemma Responses.Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dries H BostynDepartment of Developmental, Personality, and Social Psychology, Ghent University, Henri Dunantlaan 2, 9000, Ghent, Belgium. Dries.Bostyn@Ugent.be.ORCID 0000-0001-9994-4615
Subramanya Prasad ChandrashekarDepartment of Psychology, Norwegian University of Science and Technology (NTNU), Edvard Bulls veg 1, 7049, Trondheim, Norway.
Arne RoetsDepartment of Developmental, Personality, and Social Psychology, Ghent University, Henri Dunantlaan 2, 9000, Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent research has looked at how people infer the moral character of others based on how they resolve sacrificial moral dilemmas. Previous studies provide consistent evidence for the prediction that those who endorse outcome-maximizing, utilitarian judgments are disfavored in social dilemmas and are seen as less trustworthy in comparison to those who support harm-rejecting deontological judgments. However, research investigating this topic has studied a limited set of sacrificial dilemmas and did not test to what extent these effects might be moderated by specific features of the situation described in the sacrificial dilemma (for instance, whether the dilemma involves mortal or non-mortal harm). In the current manuscript, we assessed the robustness of previous findings by exploring how trust inference of utilitarian and deontological decision makers is moderated by five different contextual factors (such as whether the sacrificial harm is accomplished by an action or inaction), as well as by participants' own moral preferences. While we find some evidence that trust perceptions of others are moderated by dilemma features, we find a much stronger effect of participants' own moral preference: deontologists favored other deontologists and utilitarians favored utilitarians. PROTOCOL REGISTRATION: The stage 1 protocol for this Registered Report was accepted in principle on 21 September 2022. The protocol, as accepted by the journal, can be found at: https://doi.org/10.6084/m9.figshare.21325953 .

Indexed as

JudgmentTrustHumansMorals

Identifiers

PMID36717679
PMCPMC9885386

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.