Actual versus assumed differences in construal: "Naive realism" in intergroup perception and conflict.
Abstract
We compared partisan group members' construais and beliefs regarding contentious issues, contrasting actual differences construal with their assumptions about those differences. Study 1 dealt with the abortion debate and Study 2 with the racially charged Howard Beach incident. Although many significant examples of construal differences were found, ovcrestimation of such differences was far more common than underestimation. Misperception about the extremity and consistency of conservatives was particularly pronounced. Partisans both studies felt that their own views were less driven by political ideology than those of the other side or their own side. In Study 2, nonpartisans similarly overestimated liberal-conservative differences (again, especially for conservatives). This finding suggests the phenomenon is best characterized a bias not partisan perceptions but the way partisans, and partisanship, perceived. We tend to resolve our perplexity arising out of the experience that other people see the world differently than we see it ourselves by declaring that these others, consequence of some basic intellectual and moral defect, unable to see things as they really are and to react to them in a normal way. We thus imply, of course, that things fact we see them, and that our ways the normal ways. (Ichheiser, 1949, p. 39)
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Naïve realism tends to exacerbate group conflict and inflate political polarization by overestimating bias and extremity in the other group.
“Naïve realism tends to exacerbate group conflict because people overestimate the bias present in the other group and magnify the extremity of the other group's position; this leads to inflated political polarization (Robinson et al., 1995).”
From Lessons from the field: Isn't it just common sense? Naïve realism as a barrier to learning (2024) · cites this paper as Robinson et al., 1995
The citation lists haven’t been fetched yet
References 42 · Cited by 478
- Authors
- Robinson, R. J., Keltner, D., Ward, A., & Ross, L.
- Affiliations
- Harvard University (US)
- Venue
- Journal of Personality and Social Psychology
- Published
- 1995-03
- Volume
- 68
- Issue
- 3
- Pages
- 404-417
- ISSN
- 0022-3514 (ISSN-L)
- 1939-1315
- OpenAlex
- W2109111386
- Cited by
- 478
- References
- 42
- Citations by year
- 2026: 10 · 2025: 4 · 2024: 15 · 2023: 20 · 2022: 34 · 2021: 21 · 2020: 23 · 2019: 30 · 2018: 36 · 2017: 10 · 2016: 24 · 2015: 8 · 2014: 20 · 2013: 19 · 2012: 16
- FWCI
- 27.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Personality and Social Psychology (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Social and Intergroup Psychology
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Social Sciences › Sociology and Political Science › Social Power and Status Dynamics
- Keywords
- construal level, naive realism, intergroup perception, partisan bias, abortion debate, racial conflict, political ideology, intergroup conflict
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