Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
- URL: http://arxiv.org/abs/2601.22396v1
- Date: Thu, 29 Jan 2026 23:07:58 GMT
- Title: Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
- Abstract summary: This paper investigates the alignment of synthetic, culturally-grounded personas with established frameworks.<n>We conceptualize and produce LLM-generated personas based on a set of interpretable WVS-derived variables.<n>Our approach of culturally-grounded persona generation and analysis enables evaluation of cross-cultural structure and moral variation.
- Score: 7.5270545928319885
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Despite the growing utility of Large Language Models (LLMs) for simulating human behavior, the extent to which these synthetic personas accurately reflect world and moral value systems across different cultural conditionings remains uncertain. This paper investigates the alignment of synthetic, culturally-grounded personas with established frameworks, specifically the World Values Survey (WVS), the Inglehart-Welzel Cultural Map, and Moral Foundations Theory. We conceptualize and produce LLM-generated personas based on a set of interpretable WVS-derived variables, and we examine the generated personas through three complementary lenses: positioning on the Inglehart-Welzel map, which unveils their interpretation reflecting stable differences across cultural conditionings; demographic-level consistency with the World Values Survey, where response distributions broadly track human group patterns; and moral profiles derived from a Moral Foundations questionnaire, which we analyze through a culture-to-morality mapping to characterize how moral responses vary across different cultural configurations. Our approach of culturally-grounded persona generation and analysis enables evaluation of cross-cultural structure and moral variation.
Related papers
- Aligned but Flattened: Analyzing the Trade-off between Cultural Alignment and Diversity in LLMs [17.222006783561426]
We show that the pursuit of cultural alignment consistently incurs an acute expense of diversity, leading to severe "cultural flattening"<n>Our findings expose the limitations of current post-training paradigms and call for a shift toward alignment objectives that preserve cross-cultural pluralism.
arXiv Detail & Related papers (2026-09-01T01:59:29Z) - Cultural Authenticity: Comparing LLM Cultural Representations to Native Human Expectations [7.285754268528876]
We introduce a human-centered framework to evaluate the alignment of Large Language Model generations with local expectations.<n>Our investigation of the alignment between the human-derived Cultural Importance and model-derived Cultural Representations reveals a Western-centric calibration.
arXiv Detail & Related papers (2026-04-03T22:39:15Z) - Understanding Cultural Alignment in Multilingual LLMs via Natural Debate Statements [20.067090212539217]
This work investigates the sociocultural values learned by large language models (LLMs)<n>We introduce a novel open-access dataset, Sociocultural Statements, constructed from natural debate statements using a multi-step methodology.<n>The dataset is synthetically labeled to enable the quantization of sociocultural norms and beliefs that LLMs exhibit in their responses to these statements.
arXiv Detail & Related papers (2026-02-13T12:27:54Z) - Hire Your Anthropologist! Rethinking Culture Benchmarks Through an Anthropological Lens [9.000522371422628]
We introduce a four-part framework that categorizes how benchmarks frame culture.<n>We qualitatively examine 20 cultural benchmarks and identify six recurring methodological issues.<n>Our aim is to guide the development of cultural benchmarks that go beyond static recall tasks.
arXiv Detail & Related papers (2025-10-07T13:42:44Z) - CultureScope: A Dimensional Lens for Probing Cultural Understanding in LLMs [57.653830744706305]
CultureScope is the most comprehensive evaluation framework to date for assessing cultural understanding in large language models.<n>Inspired by the cultural iceberg theory, we design a novel dimensional schema for cultural knowledge classification.<n> Experimental results demonstrate that our method can effectively evaluate cultural understanding.
arXiv Detail & Related papers (2025-09-19T17:47:48Z) - Can LLMs Express Personality Across Cultures? Introducing CulturalPersonas for Evaluating Trait Alignment [9.313007228603864]
We introduce CulturalPersonas, the first large-scale benchmark with human validation for evaluating personality expression in behaviorally rich contexts.<n>Our dataset spans 3,000 scenario-based questions across six diverse countries, designed to elicit personality through everyday scenarios rooted in local values.<n>Our results show that CulturalPersonas improves alignment with country-specific human personality distributions.
arXiv Detail & Related papers (2025-06-06T01:33:19Z) - From Word to World: Evaluate and Mitigate Culture Bias in LLMs via Word Association Test [50.51344198689069]
We extend the human-centered word association test (WAT) to assess the alignment of large language models with cross-cultural cognition.<n>To address culture preference, we propose CultureSteer, an innovative approach by embedding cultural-specific semantic associations directly within the model's internal representation space.
arXiv Detail & Related papers (2025-05-24T07:05:10Z) - CAReDiO: Cultural Alignment of LLM via Representativeness and Distinctiveness Guided Data Optimization [50.90288681622152]
Large Language Models (LLMs) more deeply integrate into human life across various regions.<n>Existing approaches develop culturally aligned LLMs through fine-tuning with culture-specific corpora.<n>We introduce CAReDiO, a novel cultural data construction framework.
arXiv Detail & Related papers (2025-04-09T13:40:13Z) - Cultural Learning-Based Culture Adaptation of Language Models [70.1063219524999]
Adapting large language models (LLMs) to diverse cultural values is a challenging task.<n>We present CLCA, a novel framework for enhancing LLM alignment with cultural values based on cultural learning.
arXiv Detail & Related papers (2025-04-03T18:16:26Z) - CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries [63.00147630084146]
Vision-language models (VLMs) have advanced human-AI interaction but struggle with cultural understanding.<n>CultureVerse is a large-scale multimodal benchmark covering 19, 682 cultural concepts, 188 countries/regions, 15 cultural concepts, and 3 question types.<n>We propose CultureVLM, a series of VLMs fine-tuned on our dataset to achieve significant performance improvement in cultural understanding.
arXiv Detail & Related papers (2025-01-02T14:42:37Z) - LLMs as mirrors of societal moral standards: reflection of cultural divergence and agreement across ethical topics [0.5852077003870417]
Large language models (LLMs) have become increasingly pivotal in various domains due to the recent advancements in their performance capabilities.<n>This study investigates whether LLMs accurately reflect cross-cultural variations and similarities in moral perspectives.
arXiv Detail & Related papers (2024-12-01T20:39:42Z) - Extrinsic Evaluation of Cultural Competence in Large Language Models [53.626808086522985]
We focus on extrinsic evaluation of cultural competence in two text generation tasks.
We evaluate model outputs when an explicit cue of culture, specifically nationality, is perturbed in the prompts.
We find weak correlations between text similarity of outputs for different countries and the cultural values of these countries.
arXiv Detail & Related papers (2024-06-17T14:03:27Z) - Disentangling Perceptions of Offensiveness: Cultural and Moral
Correlates [4.857640117519813]
We argue that cultural and psychological factors play a vital role in the cognitive processing of offensiveness.
We demonstrate substantial cross-cultural differences in perceptions of offensiveness.
Individual moral values play a crucial role in shaping these variations.
arXiv Detail & Related papers (2023-12-11T22:12:20Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.