Evidence map›Paper›PMID 42181753›Full record

ArticleOpen research Europe2026

Synthetic political actors: an exploration into emerging AI-driven candidates and parties.

Michal Malý, Giulia Sandri, Oscar Barberà

Abstract read
In one paragraph

Article in Open research Europe, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

3 authors.

Michal MalýCharles University Institute of Political Studies, Prague, Prague, Czech Republic.ORCID https://orcid.org/0000-0002-4782-2672
Giulia SandriUniversite Libre de Bruxelles, Brussels, Brussels, Belgium.ORCID https://orcid.org/0000-0003-0559-5077
Oscar BarberàUniversitat de Valencia Facultat de Dret, Valencia, Valencian Community, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Artificial intelligence is becoming more visible in democratic politics not only as a campaign tool or communication aid, but also as a publicly presented political persona. In several democratic contexts, AI-based candidates and parties have emerged that invite citizens to interact with synthetic interfaces as if they were political representatives, leaders, or candidates in their own right. This article conceptualises these initiatives as synthetic political actors and examines them as an emerging phenomenon in democratic politics. Methods: The article draws on scholarship on party politics and digital politics to develop a six-dimensional analytical framework covering political goals, political agency, normative assumptions, entrepreneurship, organisational structure, and participation. It examines ten synthetic political candidates and parties across eight national contexts through qualitative document analysis and theoretically informed thematic analysis. Results: Synthetic political actors do not form a coherent ideological or organisational family. They differ in how they distribute authority between humans and AI systems, how they justify the political role of AI, and how they organise participation and representation. Some pursue institutional electoral ambitions, while others remain primarily symbolic, demonstrative, or experimental. In most cases, synthetic politics is marked by limited organisational development, interface-centred participation, and a shift away from party-based linkage towards algorithmically mediated representation. Conclusions: Synthetic political actors are best understood as a diverse and still developing set of initiatives rather than a uniform category of political actor. The article offers a comparative framework for analysing this phenomenon and shows how these cases complicate established understandings of democratic delegation, representation, and linkage. Their emergence also underlines the need for further research on their institutional trajectories, democratic implications, and regulatory treatment.

Indexed as

algorithmic democracyartificial intelligencedigital politicspolitical partiespolitical representationsynthetic political actorssynthetic politics

Identifiers

PMID42181753
PMCPMC13191310

What OpenQuestion holds

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LicenceCC BY
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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.