@article{MTMT:36112611,
	title = {Who's left, who's right? Examining cross-national variations in the use of the left–right scale with anchoring vignettes},
	url = {https://m2.mtmt.hu/api/publication/36112611},
	author = {Gere, Dömötör and Kollár, Dávid and Stefkovics, Ádám},
	doi = {10.1057/s41295-025-00414-x},
	journal-iso = {COMP EUR POLIT},
	journal = {COMPARATIVE EUROPEAN POLITICS},
	volume = {x?x},
	unique-id = {36112611},
	issn = {1472-4790},
	abstract = {The left–right ideological position of individuals is a key variable in political science, often used to ease the complexities of political preferences into a single dimension. Despite its widespread use, the single-item left–right scale has faced criticism for failing to capture the nuanced perceptions of respondents and for being susceptible to differential item functioning (DIF), where individuals interpret scale points differently across various contexts. This study investigates the comparability of the left–right scale across 30 European countries using the anchoring vignette approach. Data comes from large, nationally representative samples (N = 30,000) collected through computer-assisted telephone interviews. Respondents were asked to place two individuals, described as leftist or rightist on a single, 0–11 point left–right scale. The vignettes focused on the cultural aspects of the left–right concept. Our findings reveal significant variations in the interpretation of the left–right ideological scale. The ordering, the mean placements of the vignettes and the average distance between vignette placements all varied significantly between countries, indicating substantial cross-national differences in the interpretation of ideological positions. The findings suggest that the cultural elements of the left–right concept are not perceived in the same way across Europe. Based on these cautionary results we argue that researchers employing a single-item left–right scale to gauge ideological positions in comparative analyses in Europe should consider implementing corrections for measurement invariance or acknowledge the possibility of varying interpretations.},
	year = {2025},
	eissn = {1740-388X},
	orcid-numbers = {Gere, Dömötör/0009-0003-7917-5865; Kollár, Dávid/0000-0002-5146-2753; Stefkovics, Ádám/0000-0003-4961-7792}
}

@inbook{MTMT:36091596,
	title = {A klímaváltozástól való félelem az orosz–ukrán háború előtt és alatt},
	url = {https://m2.mtmt.hu/api/publication/36091596},
	author = {Stefkovics, Ádám and Hortay, Olivér and Kökény, László},
	booktitle = {Századvég Riport 2025},
	unique-id = {36091596},
	year = {2025},
	pages = {481-493},
	orcid-numbers = {Stefkovics, Ádám/0000-0003-4961-7792}
}

@inbook{MTMT:36089242,
	title = {Politikai polarizációs trendek Magyarországon},
	url = {https://m2.mtmt.hu/api/publication/36089242},
	author = {Orbán, Ferenc and Grubits, Blanka Zsófia and Stefkovics, Ádám},
	booktitle = {Századvég Riport 2025},
	unique-id = {36089242},
	year = {2025},
	pages = {31-57},
	orcid-numbers = {Stefkovics, Ádám/0000-0003-4961-7792}
}

@book{MTMT:36077019,
	title = {Századvég Riport 2025. Tanulmányok gazdaságról, politikáról, társadalomról},
	url = {https://m2.mtmt.hu/api/publication/36077019},
	author = {Stefkovics, Ádám and Pillók, Péter},
	publisher = {Századvég},
	unique-id = {36077019},
	year = {2025},
	orcid-numbers = {Stefkovics, Ádám/0000-0003-4961-7792}
}

@article{MTMT:36075196,
	title = {Trust in artificial intelligence: a survey experiment to assess trust in algorithmic decision-making},
	url = {https://m2.mtmt.hu/api/publication/36075196},
	author = {Orbán, Ferenc and Stefkovics, Ádám},
	doi = {10.1007/s00146-025-02237-6},
	journal-iso = {AI SOCIETY},
	journal = {AI AND SOCIETY: THE JOURNAL OF HUMAN-CENTERED SYSTEMS AND MACHINE INTELLIGENCE},
	volume = {0},
	unique-id = {36075196},
	issn = {0951-5666},
	abstract = {Artificial intelligence (AI) has seen rapid development over the past decade, leading to its integration into various aspects of human life. The ability to integrate AI systems hinges not solely on their technical efficacy but also on the perceptions held by users or decision-makers. Previous researches indicate that many people harbor concerns about AI, which can hinder the adoption of these technologies. This study uses a pre-registered survey experiment embedded in an online survey in Hungary ( N = 2100) to assess trust in AI-based Automated Decision-Making (ADM). Participants were presented with hypothetical decisions in four domains (medical diagnoses, hiring, transportation, and financial investments). In a split-ballot design, participants were randomly assigned to a control group with human involvement and an experimental group where decision were supported by AI-based ADM. The main results show that decisions supported by human intervention are perceived as more trustworthy than those made by ADM (except for financial investment). However, our treatment heterogeneity analysis indicates that these effects are not consistent across all segments of society. A good understanding of AI, low privacy concerns, and an open personality can mitigate the negative impact of AI assistance on trust.},
	year = {2025},
	eissn = {1435-5655},
	pages = {1},
	orcid-numbers = {Orbán, Ferenc/0009-0004-5856-6979; Stefkovics, Ádám/0000-0003-4961-7792}
}

@article{MTMT:35983111,
	title = {Validating a willingness to share measure of a vignette experiment using real-world behavioral data},
	url = {https://m2.mtmt.hu/api/publication/35983111},
	author = {Kmetty, Zoltán and Stefkovics, Ádám},
	doi = {10.1038/s41598-025-92349-2},
	journal-iso = {SCI REP},
	journal = {SCIENTIFIC REPORTS},
	volume = {15},
	unique-id = {35983111},
	abstract = {Willingness measures are widely employed in vignette and conjoint experiments. However, the predictive validity of these measures relies on the degree to which expressed intentions correspond with behavior in the real world. This study uses a unique research design that enables to validate an intention measure. In a 2022 online survey, respondents expressed their willingness to donate their social media data in hypothetical scenarios. Nine months later the same respondents were invited to participate in a genuine data donation study. The results show that the correlation between willingness and actual donation was moderate ( \eta : 0.28). Additionally, the determinants of self-reports and sharing behavior did not overlap. The willingness to donate was more strongly associated with softer attitudinal variables, whereas actual data sharing was linked more closely to harder demographic variables. These findings challenge the predictive validity of willingness to share measures and highlight the need for realistic scenarios in survey experiments, minimizing participants’ perceived risks of the task in question, and addressing social desirability bias.},
	year = {2025},
	eissn = {2045-2322},
	orcid-numbers = {Kmetty, Zoltán/0000-0002-6775-8938; Stefkovics, Ádám/0000-0003-4961-7792}
}

@misc{MTMT:35766060,
	title = {Ugyanazt mérjük? A survey alapuló Facebook használat pontosságának összehasonlítása digitális viselkedési adatokkal},
	url = {https://m2.mtmt.hu/api/publication/35766060},
	author = {Kmetty, Zoltán and Stefkovics, Ádám},
	unique-id = {35766060},
	year = {2024},
	orcid-numbers = {Kmetty, Zoltán/0000-0002-6775-8938; Stefkovics, Ádám/0000-0003-4961-7792}
}

@misc{MTMT:35766029,
	title = {Trust in Surveys. A Vignette Experiment on the Effect of Methodological Information about the Survey.},
	url = {https://m2.mtmt.hu/api/publication/35766029},
	author = {Kmetty, Zoltán and Stefkovics, Ádám},
	unique-id = {35766029},
	year = {2024},
	orcid-numbers = {Kmetty, Zoltán/0000-0002-6775-8938; Stefkovics, Ádám/0000-0003-4961-7792}
}

@misc{MTMT:35766027,
	title = {Contrasting the Accuracy of Self-Reported Facebook Use with Digital Behavioral Data},
	url = {https://m2.mtmt.hu/api/publication/35766027},
	author = {Kmetty, Zoltán and Stefkovics, Ádám},
	unique-id = {35766027},
	year = {2024},
	orcid-numbers = {Kmetty, Zoltán/0000-0002-6775-8938; Stefkovics, Ádám/0000-0003-4961-7792}
}

@article{MTMT:35501706,
	title = {A mesterséges intelligenciával kapcsolatos társadalmi attitűdök Magyarországon, 2023 őszén},
	url = {https://m2.mtmt.hu/api/publication/35501706},
	author = {Stefkovics, Ádám and Batiz, Kinga and Orbán, Ferenc and Tariska, Andrea and Pavalacs, András},
	doi = {10.18030/socio.hu.2024.3.90},
	journal-iso = {SOCIO.HU},
	journal = {SOCIO.HU : TÁRSADALOMTUDOMÁNYI SZEMLE},
	unique-id = {35501706},
	year = {2024},
	eissn = {2063-0468},
	pages = {90-116},
	orcid-numbers = {Stefkovics, Ádám/0000-0003-4961-7792}
}