Evidence map›Paper›PMID 40171239›Full record

ArticlePNAS nexus2025

Generative propaganda: Evidence of AI's impact from a state-backed disinformation campaign.

Morgan Wack, Carl Ehrett, Darren Linvill, Patrick Warren

Abstract read
In one paragraph

Article in PNAS nexus, 2025. 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. Intelligent Systems, Vulnerable Minds: A Framework for Radicalization to Violence in the Age of AI.Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc · 2026
    Review
  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.

Morgan WackIKMZ, University of Zurich, Andreasstrasse 15 CH-8050, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-7769-5993
Carl EhrettMedia Forensics Hub, Clemson University, 405 South Palmetto Blvd, Clemson, SC 29634, USA.ORCID https://orcid.org/0000-0002-0711-0347
Darren LinvillMedia Forensics Hub, Clemson University, 405 South Palmetto Blvd, Clemson, SC 29634, USA.ORCID https://orcid.org/0009-0008-8475-9001
Patrick WarrenMedia Forensics Hub, Clemson University, 405 South Palmetto Blvd, Clemson, SC 29634, USA.ORCID https://orcid.org/0000-0003-3886-8924

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Can AI bolster state-backed propaganda campaigns, in practice? Growing use of AI and large language models has drawn attention to the potential for accompanying tools to be used by malevolent actors. Though recent laboratory and experimental evidence has substantiated these concerns in principle, the usefulness of AI tools in the production of propaganda campaigns has remained difficult to ascertain. Drawing on the adoption of generative-AI techniques by a state-affiliated propaganda site with ties to Russia, we test whether AI adoption enabled the website to amplify and enhance its production of disinformation. First, we find that the use of generative-AI tools facilitated the outlet's generation of larger quantities of disinformation. Second, we find that use of generative-AI coincided with shifts in the volume and breadth of published content. Finally, drawing on a survey experiment comparing perceptions of articles produced prior to and following the adoption of AI tools, we show that the AI-assisted articles maintained their persuasiveness in the postadoption period. Our results illustrate how generative-AI tools have already begun to alter the size and scope of state-backed propaganda campaigns.

Indexed as

artificial intelligencedisinformationlarge language modelsmisinformationpropaganda

Identifiers

PMID40171239
PMCPMC11950819

What OpenQuestion holds

Textmetadata
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.