Egotropic and sociotropic negativity bias in social policy reform preferences

Abstract Although negativity bias is widely documented in political psychology, evidence is far more mixed when it comes to voters' preferences for social policy reform, particularly when they are confronted with trade‐offs between personal and societal outcomes. Building on existing theories of political communication, this article examines how voters evaluate policy reforms when considering realistic information about potential losses and gains. Empirically, we analyze a simu‐survey experiment examining how voters update their reform preferences in response to information derived from microsimulation modeling about the predicted effects of policy reform on their pocketbook and on the poverty level. The results show that negative information weighs more heavily than positive information in shaping reform preferences at both the egotropic and sociotropic levels. In the case of competing information, the effects are asymmetric: Positive pocketbook information tends to be neutralized by negative poverty information, whereas negative pocketbook information outweighs positive poverty information. However, egotropic negativity bias is most pronounced for smaller pocketbook losses, which are more likely to violate voters' prior expectations than larger losses. Consistent with this pattern, expectation violations—rather than differences in recall of, or trust in, information—seems the primary mechanism underlying negativity bias in policy preferences.

Authors

Institutions

Publication Details

Journal
Political Psychology
Published
2026-10-15
DOI
https://doi.org/10.1111/pops.70210
Primary Topic
Electoral Systems and Political Participation
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Egotropic and sociotropic negativity bias in social policy reform preferences

Elise Aerts, Tijs Laenen
Political Psychology
Electoral Systems and Political Participation
article

Egotropic and sociotropic negativity bias in social policy reform preferences

Elise Aerts, Tijs Laenen
article en

Abstract

Abstract Although negativity bias is widely documented in political psychology, evidence is far more mixed when it comes to voters' preferences for social policy reform, particularly when they are confronted with trade‐offs between personal and societal outcomes. Building on existing theories of political communication, this article examines how voters evaluate policy reforms when considering realistic information about potential losses and gains. Empirically, we analyze a simu‐survey experiment examining how voters update their reform preferences in response to information derived from microsimulation modeling about the predicted effects of policy reform on their pocketbook and on the poverty level. The results show that negative information weighs more heavily than positive information in shaping reform preferences at both the egotropic and sociotropic levels. In the case of competing information, the effects are asymmetric: Positive pocketbook information tends to be neutralized by negative poverty information, whereas negative pocketbook information outweighs positive poverty information. However, egotropic negativity bias is most pronounced for smaller pocketbook losses, which are more likely to violate voters' prior expectations than larger losses. Consistent with this pattern, expectation violations—rather than differences in recall of, or trust in, information—seems the primary mechanism underlying negativity bias in policy preferences.

Political PsychologyVol. 47(6)
University of Antwerp (BE), Antwerp Management School (BE)
Belgian Federal Science Policy Office
Openalex Percentile: Top 4%
Electoral Systems and Political Participation
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.