Evidence map›Paper›PMID 40670542›Full record

ArticleScientific reports2025

Divergent attitudes toward ambiguous and conflicting information.

Ohad Dan, Maya Sanghvi, Ifat Levy

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ohad DanDepartment of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA. ohad.dan@yale.edu.
Maya SanghviDepartment of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.
Ifat LevyDepartment of Comparative Medicine, Yale School of Medicine, New Haven, CT, USA.

Funding

Individual differences in decision making under uncertaintyR01MH118215 · NIMH · YALE UNIVERSITY · PI LEVY, IFAT · 2019 to 2023
$3.4M
NIH HHS R01MH118215NIMH NIH HHS R01 MH118215
6 · The paper itself

Abstract

abstarctA prevalent yet understudied type of uncertainty emerges when several sources provide conflicting information. We explore how decision-makers interpret informational conflicts and make decisions under such uncertainty, testing the hypothesis that conflicts are interpreted as ambiguity. For example, that two conflicting sources, one reporting a 25% success chance of some procedure and another reporting a 75% chance, are interpreted as an ambiguous range of 25%-75% success chance. In a behavioral paradigm, we presented participants with choices involving different types of uncertainty and monetary outcomes. We found that in choices that contrasted low certain outcomes with high uncertain outcomes framed as either conflict or ambiguity, attitudes to conflict and ambiguity were indistinguishable. In contrast, participants expressed an overwhelming aversion to conflict in choices between identical conflicting and ambiguous lotteries. We suggest that this shift in preference reflects context-dependent attitudes to conflict. In isolation, decision-makers reduce conflict to ambiguity. It is only in its comparative form that conflict is associated with highly aversive attitudes. In exploratory analysis, we found that conflict attitudes had a weak association with trait consciousness, but not with trait agreeableness, or anticipated regret, nor could it be explained by subjective probability. We discuss the relevance of our findings to advice-giving, and to information communicators who, in our polarizing societies, report more and more conflicting information.

Indexed as

AttitudeChoice BehaviorConflict, PsychologicalDecision MakingAdultEmotionsFemaleHumansMaleUncertaintyYoung AdultAmbiguityConflictDecision-makingUncertainty

Identifiers

PMID40670542
PMCPMC12267609

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.