Evidence map›Paper›PMID 42420458›Full record

ArticleNature2026

Large language models can predict the results of social science experiments.

Ashwini Ashokkumar, Luke Hewitt, Isaias Ghezae, Robb Willer

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Ashwini Ashokkumar *Department of Psychology, Harvard University, Cambridge, MA, USA. ashwiniashokkumar@g.harvard.edu.ORCID http://orcid.org/0000-0002-8672-5963
Luke Hewitt *Department of Sociology, Stanford University, Stanford, CA, USA. luke@transluce.org.ORCID http://orcid.org/0000-0001-8278-7692
Isaias GhezaeDepartment of Psychology, Harvard University, Cambridge, MA, USA.ORCID http://orcid.org/0009-0000-8656-7590
Robb WillerDepartment of Sociology, Stanford University, Stanford, CA, USA. willer@stanford.edu.ORCID http://orcid.org/0000-0003-3404-6472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is growing interest in how large language models (LLMs) can advance social and behavioural science

Indexed as

Large Language ModelsSocial SciencesForecastingHumansUnited States

Identifiers

PMID42420458

What OpenQuestion holds

Textmetadata
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.