Post-publication Comment · Critical AI
Comment on “AI meets politics: Examining the effects of different targeting strategies across 15 countries”
Critical AI · published 2026-06-15 · v1.0 · CRIT-000008
Concerning: Sanne Kruikemeier, Svenja Schäfer, Alice Hamilton, Puck Guldemond, Jade Vrielink, Carmen Dymanus, Annelien Van Remoortere, Sanne Tamboer · New Media & Society · 2026-06-04
Why this paper was selected
A large cross-national experiment on AI-generated political microtargeting bears directly on election integrity debates, making the scope of its persuasion claims worth scrutinising.
AI/AGI centrality 4/5 · societal relevance 5/5 · source-journal note: New Media & Society is a top-tier communication and media-studies journal. Tier A.
Summary
This study asks whether political ads written by AI are more persuasive when they are aimed at voters in different ways — by political leaning, by age, or by personality. Running an experiment across 15 countries with about 7,000 people in an EU-election setting, the authors find that the one strategy that moved voters was matching the message to a voter's existing political side: people liked ads more, and rated the issue as more important, when the ad came from a party they already favoured. Aiming by age, or by combining categories, did nothing measurable. The cross-national design is a real strength. Our caution, visible in the abstract, is narrower: the result is an experiment in one election context, so the leap to how targeting 'influences the electorate' in real campaigns is a generalisation the study supports only partly, and the headline 'contrary to popular belief' null effects are claims about the absence of an effect that depend on the study's statistical power.
Central claims & evidence map
| Claim | Type | Evidence offered | Support | Overclaiming | Main weakness |
|---|---|---|---|---|---|
| AI-targeted political messages persuade mainly when matched to a voter's pre-existing political orientation, not by age or combined categories. | Causal | An experiment: "Through an experimental design conducted across 15 countries" the authors report that "targeting based on age or a combination of multiple categories does not affect persuasive outcomes". | Moderate | Minor | Null effects ('does not affect') are asserted without the power analysis needed to distinguish 'no effect' from 'not enough power to detect one'. |
| The findings generalise to how targeting influences the electorate. | Descriptive | The abstract concludes "this research provided a robust analysis of how multiple targeting strategies influence the electorate in an EU election context". | Weak | Moderate | External validity from a one-shot experiment with attitudinal outcomes to real electoral influence is asserted, not demonstrated. |
Per-claim assessment
C1. AI-targeted political messages persuade mainly when matched to a voter's pre-existing political orientation, not by age or combined categories.
The random-assignment experiment supports a causal reading within the studied setting, and the cross-national replication strengthens it. The null results for age/combined targeting are framed 'contrary to popular belief', but an absence of a detected effect is a power-dependent claim the abstract does not quantify.
C2. The findings generalise to how targeting influences the electorate.
This is the critique's main point. A survey-experiment measuring ad likability and self-reported issue importance is a step removed from electoral influence (turnout, vote choice) in live campaigns with repeated, competitive messaging; 'influence the electorate' reads stronger than the outcomes measured.
Scorecard
Sub-scores are 0–5 editorial judgements on fixed scales (higher is better, except methodological risk and overclaiming where higher is worse). They are contestable and open to a severity challenge from authors.
What the paper does
A 15-country survey experiment (~7,000 participants) tests whether AI-generated political ads persuade more when targeted by political orientation, age, or personality. Only orientation-congruent targeting moved likability and issue importance; age and combined targeting did not.
Where the claim outruns the design
Two abstract-level cautions. The 'contrary to popular belief' null effects for age/combined targeting are claims about the absence of an effect that require a power analysis the abstract does not give. And the move from ad-likability and self-reported issue importance to influencing 'the electorate' in an EU election overstates what one-shot attitudinal outcomes can show about real campaigns.
Strongest critique
The headline contributions — that some targeting strategies simply do not work, and that the results speak to how targeting 'influences the electorate' — rest respectively on under-powered null claims and on a leap from attitudinal experimental outcomes to real electoral influence, both visible from the abstract alone.
Strongest fair defence
The cross-national, ~7,000-participant randomised design is unusually strong for this literature, gives the orientation-congruence finding a credible causal basis, and replicates it across 15 countries rather than a single convenience sample.
Conclusion
A well-powered, cross-national experiment whose central positive finding is credibly identified; the cautions, legible from the abstract, are the power-dependent null claims and the generalisation from attitudinal outcomes to electoral influence. Severity low.
Reply from the authors
Following the practice of Nature Matters Arising, Science Technical Comments and PNAS Letters, this Comment is published as one half of a Comment + Reply pair: the authors of the original article are invited to respond, and any reply is published here verbatim alongside the Comment as part of the record.
Reply: not yet invited. No reply has been received for publication.
The authors have a right of reply and no veto. A reply may request a factual correction, a methodological rebuttal, a clarification, a data/code update, or a severity challenge, and is published unedited. See the right-of-reply policy.
Editorial action after reply: Founding pilot: authors will be invited to reply once the standing board is ratified; this critique addresses claims, framing and generalisation only, never the authors.
References
Every external source this Comment cites, each with a verified link. 0 fabricated.
Source-grounding attestation
- ✓Verbatim source spans present in the critique — 3/3 provenance spans re-derived in the critique prose
- ✓Passes the publication validator — no errors
- ✓Zero fabricated citations — 0 fabricated
- ✓Severity within the access-basis cap — severity "low" ≤ cap "moderate" for abstract_only
Every verbatim span the critique relies on is re-derived in the prose in-app; span-in-source is re-verifiable offline (the abstract is re-fetched, not stored, per the no-reproduce policy).
Re-verify span-in-source offline: python3 scripts/verify-queue-critiques.py
Independent faithfulness review
A refute-by-default adversarial panel (two independent reviewers — an overreach lens and a mischaracterization lens — that fetched the real source) tried to prove this critique misread the paper. This is an AI adversarial review recorded with its reasoning, not a deterministic check.
Both refuters retrieved the genuine abstract (via the OpenAlex API, reconstructed from the abstract_inverted_index and cross-checked: New Media & Society, 2026, N=7,118, three targeting strategies, the verbatim "Contrary to popular belief, targeting based on age or a combination of multiple categories does not affect persuasive outcomes," and the closing claim of "a robust analysis of how multiple targeting strategies influence the electorate in an EU election context"). Against that source, the critique's two load-bearing claims hold up. C1 quotes the orientation-congruence effect and the age/combined null accurately, correctly avoids inventing a personality-trait result, and frames its power-analysis point as a methodological caution rather than a claim the paper contradicts. C2 accurately attributes the paper's strong "influence the electorate" language while flagging the legitimate gap between attitudinal outcomes (ad likability, issue importance) and real electoral influence, and it preserves the paper's "EU election context" qualifier. The only blemish either refuter surfaced is rhetorical compression in the strongestCritique field ("under-powered null claims" overstating an absence of demonstrated power), but it is hedged at the claim level, low-severity, and substantively defensible — not a sustained misrepresentation. Neither refuter sustained a misreading; the critique is faithful to the retrieved source.
Version & correction history
| Version | Date | Change |
|---|---|---|
| v1.0 | 2026-06-15 | Initial publication. |
No silent substantive corrections — every change is versioned and visible.
How to cite this Comment
Critical AI. Comment on “AI meets politics: Examining the effects of different targeting strategies across 15 countries” (Sanne Kruikemeier et al., New Media & Society, 2026). Critical AI; 2026. https://policywindow.org/critique/c/ai-meets-politics-examining-the-effects-of-differe
A registered DOI will replace the URL once minted; until then the canonical URL is the persistent identifier. Highwire/Dublin-Core citation tags and a schema.org Review record are embedded in this page for Google Scholar and reference managers.