The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Low Levels of Empathic Concern Predict Utilitarian Moral Judgment
Open accessAbstract
Is it permissible to harm one to save many? Classic moral dilemmas are often defined by the conflict between a putatively rational response to maximize aggregate welfare (i.e., the utilitarian judgment) and an emotional aversion to harm (i.e., the non-utilitarian judgment). Here, we address two questions. First, what specific aspect of emotional responding is relevant for these judgments? Second, is this aspect of emotional responding selectively reduced in utilitarians or enhanced in non-utilitarians? The results reveal a key relationship between moral judgment and empathic concern in particular (i.e., feelings of warmth and compassion in response to someone in distress). Utilitarian participants showed significantly reduced empathic concern on an independent empathy measure. These findings therefore reveal diminished empathic concern in utilitarian moral judges.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Measuring individual differences in empathy: Evidence for a multidimensional approach.
Davis, M. H. (1983) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.44.1.113 · Cited by 10,272
The emotional dog and its rational tail: A social intuitionist approach to moral judgment.
Haidt, J. (2001) · Psychological Review · doi:10.1037/0033-295x.108.4.814 · Cited by 8,048
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011) · Psychological Science · doi:10.1177/0956797611417632 · Cited by 6,567
Cohen, J. (1992) · Current Directions in Psychological Science · doi:10.1111/1467-8721.ep10768783 · Cited by 5,870
Baron-Cohen, S., & Wheelwright, S. (2004) · Journal of Autism and Developmental Disorders · doi:10.1023/b:jadd.0000022607.19833.00 · Cited by 4,093
The Neural Bases of Cognitive Conflict and Control in Moral Judgment
Greene, J. D., Nystrom, L. E., Engell, A. D., Darley, J. M., & Cohen, J. D. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.027 · Cited by 2,620
The social neuroscience of empathy
Singer, T., & Lamm, C. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04418.x · Cited by 1,981
Damage to the prefrontal cortex increases utilitarian moral judgements
Koenigs, M., Young, L., Adolphs, R., Tranel, D., Cushman, F., Hauser, M., & Damasio, A. (2007) · Nature · doi:10.1038/nature05631 · Cited by 1,545
Self-citationA cognitive developmental approach to morality: investigating the psychopath
Blair, R. (1995) · Cognition · doi:10.1016/0010-0277(95)00676-p · Cited by 1,529
Hypnotic Disgust Makes Moral Judgments More Severe
Wheatley, T., & Haidt, J. (2005) · Psychological Science · doi:10.1111/j.1467-9280.2005.01614.x · Cited by 851
Cited by
Beyond sacrificial harm: a two-dimensional model of utilitarian psychology
Kahane, G., Everett, J. A. C., Earp, B. D., Caviola, L., Faber, N. S., Crockett, M. J., & Savulescu, J. (2018) · Psychological Review · doi:10.1037/rev0000093 · Cited by 434
Bloom, P. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.11.004 · Cited by 420
Friends or Foes: Is Empathy Necessary for Moral Behavior?
Decety, J., & Cowell, J. M. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691614545130 · Cited by 314
The role of shared neural activations, mirror neurons, and morality in empathy – A critical comment
Lamm, C., & Majdandžić, J. (2015) · Neuroscience Research · doi:10.1016/j.neures.2014.10.008 · Cited by 252
Reasoning supports utilitarian resolutions to moral dilemmas across diverse measures.
Patil, I., Zucchelli, M. M., Kool, W., Campbell, S., Fornasier, F., Calò, M., Silani, G., Cikara, M., & Cushman, F. (2021) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000281 · Cited by 133
Metadata
- Authors
- Gleichgerrcht, E., & Young, L.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-04-04
- Volume
- 8
- Issue
- 4
- Pages
- e60418
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1998396053
- Cited by
- 266
- References
- 20
- FWCI
- 9.26
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Low Levels of Empathic Concern Predict Utilitarian Moral Judgment. https://app.cochat.ai/papers/10.1371/journal.pone.0060418
- The paper
- Gleichgerrcht, E., & Young, L. (2013). Low Levels of Empathic Concern Predict Utilitarian Moral Judgment. PLoS ONE. https://doi.org/10.1371/journal.pone.0060418
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.