An Examination of the Party Leanings of Large Language Models

Lars Bungum; Charles Huang; Jari Bakken

doi:10.63317/2guhsurix7ke

An Examination of the Party Leanings of Large Language Models

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Abstract

This paper examines the party leanings of international and Norwegian large language models. The experiments are two-fold; first they are asked to answer the question of a Valgomat–an election affiliation guide–as a neutral observer, and secondly as if it were a paying party member of the parties in the data. Results show that the neutral prompting show centrist leanings, whereas models struggle with mimicking party members. Models with additional training on Norwegian text performed better on this task.

Anthology ID:: 2026.politicalnlp-1.21
Volume:: Proceedings of the 3rd Workshop on Natural Language Processing for Political Sciences (PoliticalNLP 2026)
Month:: May
Year:: 2026
Address:: Palma, Mallorca (Spain)
Editors:: Haithem Afli, Houda Bouamor, Wajdi Zaghouani, Sahar Ghannay, Shehenaz Hossain
Venues:: PoliticalNLP | WS
SIG:
Publisher:: ELRA Language Resources Association (ELRA)
Note:
Pages:: 195–203
Language:
External URL:: https://lrec.elra.info/lrec2026-ws-politicalnlp-21
DOI:: 10.63317/2guhsurix7ke
Bibkey:
Cite (ACL):: Lars Bungum, Charles Huang, and Jari Bakken. 2026. An Examination of the Party Leanings of Large Language Models. In Proceedings of the 3rd Workshop on Natural Language Processing for Political Sciences (PoliticalNLP 2026), pages 195–203, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).
Cite (Informal):: An Examination of the Party Leanings of Large Language Models (Bungum et al., PoliticalNLP 2026)
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@inproceedings{bungum-etal-2026-examination,
    title = "An Examination of the Party Leanings of Large Language Models",
    author = "Bungum, Lars  and
      Huang, Charles  and
      Bakken, Jari",
    editor = "Afli, Haithem  and
      Bouamor, Houda  and
      Zaghouani, Wajdi  and
      Ghannay, Sahar  and
      Hossain, Shehenaz",
    booktitle = "Proceedings of the 3rd Workshop on Natural Language Processing for Political Sciences ({P}olitical{NLP} 2026)",
    month = may,
    year = "2026",
    address = "Palma, Mallorca (Spain)",
    publisher = "ELRA Language Resources Association (ELRA)",
    url = "https://aclanthology.org/2026.politicalnlp-1.21/",
    doi = "10.63317/2guhsurix7ke",
    pages = "195--203",
    abstract = "This paper examines the party leanings of international and Norwegian large language models. The experiments are two-fold; first they are asked to answer the question of a \textit{Valgomat}{--}an election affiliation guide{--}as a neutral observer, and secondly as if it were a paying party member of the parties in the data. Results show that the neutral prompting show centrist leanings, whereas models struggle with mimicking party members. Models with additional training on Norwegian text performed better on this task."
}

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%0 Conference Proceedings
%T An Examination of the Party Leanings of Large Language Models
%A Bungum, Lars
%A Huang, Charles
%A Bakken, Jari
%Y Afli, Haithem
%Y Bouamor, Houda
%Y Zaghouani, Wajdi
%Y Ghannay, Sahar
%Y Hossain, Shehenaz
%S Proceedings of the 3rd Workshop on Natural Language Processing for Political Sciences (PoliticalNLP 2026)
%D 2026
%8 May
%I ELRA Language Resources Association (ELRA)
%C Palma, Mallorca (Spain)
%F bungum-etal-2026-examination
%X This paper examines the party leanings of international and Norwegian large language models. The experiments are two-fold; first they are asked to answer the question of a Valgomat–an election affiliation guide–as a neutral observer, and secondly as if it were a paying party member of the parties in the data. Results show that the neutral prompting show centrist leanings, whereas models struggle with mimicking party members. Models with additional training on Norwegian text performed better on this task.
%R 10.63317/2guhsurix7ke
%U https://aclanthology.org/2026.politicalnlp-1.21/
%U https://doi.org/10.63317/2guhsurix7ke
%P 195-203

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Markdown (Informal)

[An Examination of the Party Leanings of Large Language Models](https://aclanthology.org/2026.politicalnlp-1.21/) (Bungum et al., PoliticalNLP 2026)

An Examination of the Party Leanings of Large Language Models (Bungum et al., PoliticalNLP 2026)

ACL

Lars Bungum, Charles Huang, and Jari Bakken. 2026. An Examination of the Party Leanings of Large Language Models. In Proceedings of the 3rd Workshop on Natural Language Processing for Political Sciences (PoliticalNLP 2026), pages 195–203, Palma, Mallorca (Spain). ELRA Language Resources Association (ELRA).