Evidence map›Paper›PMID 37173351›Full record

ArticleScientific reports2023

The intentions of information sources can affect what information people think qualifies as true.

Isaac J Handley-Miner, Michael Pope, Richard Kenneth Atkins, S Mo Jones-Jang, Daniel J McKaughan, Jonathan Phillips, Liane Young

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Isaac J Handley-MinerDepartment of Psychology and Neuroscience, Boston College, Chestnut Hill, MA, 02467, USA. isaac.handley-miner@bc.edu.
Michael PopeDepartment of Philosophy, Boston College, Chestnut Hill, MA, 02467, USA.
Richard Kenneth AtkinsDepartment of Philosophy, Boston College, Chestnut Hill, MA, 02467, USA.
S Mo Jones-JangDepartment of Communication, Boston College, Chestnut Hill, MA, 02467, USA.
Daniel J McKaughanDepartment of Philosophy, Boston College, Chestnut Hill, MA, 02467, USA.
Jonathan PhillipsProgram in Cognitive Science, Dartmouth College, Hanover, NH, 03755, USA.
Liane YoungDepartment of Psychology and Neuroscience, Boston College, Chestnut Hill, MA, 02467, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of truth is at the core of science, journalism, law, and many other pillars of modern society. Yet, given the imprecision of natural language, deciding what information should count as true is no easy task, even with access to the ground truth. How do people decide whether a given claim of fact qualifies as true or false? Across two studies (N = 1181; 16,248 observations), participants saw claims of fact alongside the ground truth about those claims. Participants classified each claim as true or false. Although participants knew precisely how accurate the claims were, participants classified claims as false more often when they judged the information source to be intending to deceive (versus inform) their audience, and classified claims as true more often when they judged the information source to be intending to provide an approximate (versus precise) account. These results suggest that, even if people have access to the same set of facts, they might disagree about the truth of claims if they attribute discrepant intentions to information sources. Such findings may shed light on the robust and persistent disagreements over claims of fact that have arisen in the "post-truth era".

Indexed as

Information SourcesIntentionHumans

Identifiers

PMID37173351
PMCPMC10182088

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.