@article{MTMT:36938005,
	title = {Willingness to vaccinate in a future pandemic. Evidence from a vignette experiment},
	url = {https://m2.mtmt.hu/api/publication/36938005},
	author = {Stefkovics, Ádám and Ligeti, Anna Sára and Koltai, Júlia Anna},
	doi = {10.1016/j.vaccine.2026.128284},
	journal-iso = {VACCINE},
	journal = {VACCINE},
	volume = {76},
	unique-id = {36938005},
	issn = {0264-410X},
	abstract = {The COVID-19 pandemic highlighted both the importance of vaccination and the persistent challenge of vaccine hesitancy. As future global outbreaks remain a realistic threat, understanding the factors shaping vaccination intentions beyond the COVID-19 context is crucial. We conducted a pre-registered vignette experiment in an online survey in Hungary (
		), varying six disease and vaccine-related attributes: disease severity, vaccine’s country of origin, technology, regulatory approval, side effects, and recommendation source. Respondents evaluated eight randomly assigned scenarios each. Multilevel linear models were used to estimate the main and interaction effects of vignette and individual characteristics. Vaccine side effects, approval status, and country of origin were the strongest predictors of willingness to vaccinate in a future pandemic. Respondents were substantially less willing to accept vaccines with stronger side effects or those originating from China, and preferred vaccines jointly approved by Hungarian and European authorities. In contrast, vaccine technology (mRNA vs. non-mRNA) and recommendation source had no significant effect. Less-educated, rural respondents and those unvaccinated against COVID-19 were largely unaffected by differences in vaccine attributes or contextual factors. Concerns over side effects and institutional legitimacy remain central in hypothetical future pandemics, while technological distinctions play a minor role. Strengthening trust through transparent, evidence-based communication, early engagement, and tailored messages addressing the specific concerns of hesitant subgroups not even influenced by disease and vaccine-related factors will be essential to improve vaccine uptake and pandemic preparedness.},
	keywords = {vaccine hesitancy; Post-COVID; Future pandemics; Vaccine preference},
	year = {2026},
	eissn = {1873-2518},
	pages = {128284-128292},
	orcid-numbers = {Stefkovics, Ádám/0000-0003-4961-7792; Ligeti, Anna Sára/0000-0002-8261-0552; Koltai, Júlia Anna/0000-0002-8676-7303}
}

@article{MTMT:36992244,
	title = {Beliefs and sharing intentions of human- and AI-generated fake news: Evidence from 27 European countries},
	url = {https://m2.mtmt.hu/api/publication/36992244},
	author = {Stefkovics, Ádám and Gere, Dömötör},
	doi = {10.1093/pnasnexus/pgag032},
	journal-iso = {PNAS NEXUS},
	journal = {PNAS NEXUS},
	volume = {1},
	unique-id = {36992244},
	abstract = {Misinformation remains a major challenge in today’s information environment, and rapid advances in AI-driven content generation risk amplifying this problem. Generative AI represents a double-edged sword: beyond its growing utility for detecting misinformation, it can also facilitate democratic deliberation, counter conspiracy narratives, and promote reliable information, even as the same technologies enable the rapid, large-scale production of persuasive false content. Understanding how people perceive AI-generated misinformation is therefore crucial for designing effective interventions and safeguarding information integrity. To address this, we embedded a pre-registered experiment in a large-scale web survey conducted across 27 European countries. Participants were presented with eight short news headlines related to the Russo-Ukrainian war: four AI-generated and four human-generated, evenly split between real and fake news. For each headline, respondents assessed its perceived veracity and their willingness to share it. Our findings show that fake news is consistently viewed as less accurate and less likely to be shared, with systematic differences across countries and individual characteristics such as cognitive reflection, ideology, and trust. While differences between human- and AI-generated content were minimal, the results reveal broader and robust patterns in how people evaluate misinformation across diverse European contexts. These insights highlight the need to strengthen individuals’ cognitive and informational resilience to counter the spread of misleading content in increasingly complex media environments.},
	year = {2026},
	eissn = {2752-6542},
	pages = {1},
	orcid-numbers = {Stefkovics, Ádám/0000-0003-4961-7792}
}

@article{MTMT:37022203,
	title = {HE SAID, SHE SAID: GENDER-OF-INTERVIEWER EFFECTS AND THE ROLE OF THE INTERVIEWERS’ GENDER ATTITUDES IN THE HUNGARIAN ESS ROUND 11},
	url = {https://m2.mtmt.hu/api/publication/37022203},
	author = {Stefkovics, Ádám and Messing, Vera},
	doi = {10.1093/jssam/smaf012},
	journal-iso = {J SURVEY STAT METHOD},
	journal = {JOURNAL OF SURVEY STATISTICS AND METHODOLOGY},
	volume = {1},
	unique-id = {37022203},
	issn = {2325-0984},
	abstract = {The measurement of gender attitudes in face-to-face surveys can be problematic due to gender of interviewer effects. When dealing with sensitive gender-related questions, respondents may downplay their genuine beliefs to avoid potential negative judgment from an interviewer of a particular gender or they may emphatically align their responses with perceived socially accepted opinions. In this study, we examine direct gender of interviewer effects and the interaction between the respondents’ and the interviewers’ gender. In addition, we extend prior studies by asking whether the interviewers’ own gender attitudes are associated with the respondents’ attitudes. We use the 11th round of the European Social Survey in Hungary, which contained a module on gender attitudes. In a unique setting, interviewers were asked to answer the same survey, resulting in 1,548 interviewer-respondent dyads available for analysis. The results of the multilevel models suggest no direct effects of the gender of the interviewer and weak interaction effects across different types of attitudes. However, the interviewer’s gender attitudes strongly and positively predicted the respondent’s same attitudes in many cases. We recommend that future face-to-face survey research control for some key attitudinal characteristics of the interviewer and focus on objectivity and self-expression during interviewer training.},
	year = {2026},
	eissn = {2325-0992},
	pages = {1},
	orcid-numbers = {Stefkovics, Ádám/0000-0003-4961-7792; Messing, Vera/0000-0002-3466-2163}
}

@book{MTMT:37024434,
	title = {Századvég Riport 2026. Tanulmányok gazdaságról, politikáról, társadalomról},
	url = {https://m2.mtmt.hu/api/publication/37024434},
	editor = {Stefkovics, Ádám and Pillók, Péter},
	publisher = {Századvég},
	unique-id = {37024434},
	year = {2026},
	orcid-numbers = {Stefkovics, Ádám/0000-0003-4961-7792}
}

@article{MTMT:34436065,
	title = {The association between the interviewers’ and the respondents’ political attitudes in a telephone survey},
	url = {https://m2.mtmt.hu/api/publication/34436065},
	author = {Stefkovics, Ádám},
	doi = {10.1080/13645579.2023.2292500},
	journal-iso = {INT J SOC RES METHOD},
	journal = {INTERNATIONAL JOURNAL OF SOCIAL RESEARCH METHODOLOGY},
	volume = {28},
	unique-id = {34436065},
	issn = {1364-5579},
	abstract = {Interviewer effects in telephone surveys on political topics are likely to occur. The literature has yielded considerable evidence about the impact of basic interviewer characteristics, but research is lacking on how interviewers’ beliefs may shape responses. This study is aimed at assessing the association between the interviewers’ party affiliation and political ideology and the answers provided to the same questions by the respondents, using a large-scale telephone survey conducted in Hungary. The results show that interviewers account for a relatively large amount of variance, especially in the models predicting item-nonresponse. The interviewer’s reluctance to answer these questions strongly predicted missing data on the respondent level. On the other hand, only weak interviewer effects were found regarding the valid, substantive responses. The results demonstrate how, for instance, estimations of nonrespondents’ party preferences in electoral polls may be biased due to interviewer-related errors, and highlight the need for standardized persuasion strategies.},
	year = {2025},
	eissn = {1464-5300},
	pages = {43-56},
	orcid-numbers = {Stefkovics, Ádám/0000-0003-4961-7792}
}

@article{MTMT:34795481,
	title = {Determinants of willingness to donate data from social media platforms},
	url = {https://m2.mtmt.hu/api/publication/34795481},
	author = {Kmetty, Zoltán and Stefkovics, Ádám and Számely, Júlia and Deng, Dongning and Kellner, Anikó and Pauló, Edit and Omodei, Elisa and Koltai, Júlia Anna},
	doi = {10.1080/1369118X.2024.2340995},
	journal-iso = {INF COMM SOC},
	journal = {INFORMATION COMMUNICATION AND SOCIETY},
	volume = {28},
	unique-id = {34795481},
	issn = {1369-118X},
	abstract = {Social media data donation through data download packages (DDPs) is a promising new way of collecting individual-level digital trace data with informed consent. Nevertheless, given the novelty of this approach, little is known about whether and how people would share their data with researchers, although this could seriously affect selection bias and thus, the outer validity of the results. To study the determinants of data-sharing and help future data donation studies with detecting the conditions, under which the willingness is the highest, we pre-registered two vignette experiments and embedded them in two online surveys conducted in Hungary and the US. In hypothetical requests for donating social media data via DDPs, we manipulated the amount of the monetary incentives (1), the presence or lack of non-monetary incentives (2), the number of requested platforms (3), the estimated upload/download time (4), and the type of requested data (5). The results revealed that data-sharing attitude is strongly subject to the parameters of the actual study, how the request is framed, and some respondent characteristics. Monetary incentives increased willingness to participate in both countries, while other effects were not consistent between the two countries.},
	year = {2025},
	eissn = {1468-4462},
	pages = {1324-1349},
	orcid-numbers = {Kmetty, Zoltán/0000-0002-6775-8938; Stefkovics, Ádám/0000-0003-4961-7792; Pauló, Edit/0009-0009-1985-283X; Koltai, Júlia Anna/0000-0002-8676-7303}
}

@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.},
	keywords = {VALIDATION; Survey; vignette experiment; data donation},
	year = {2025},
	eissn = {2045-2322},
	orcid-numbers = {Kmetty, Zoltán/0000-0002-6775-8938; 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 = {40},
	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 = {4955-4969},
	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},
	editor = {Stefkovics, Ádám and Pillók, Péter},
	publisher = {Századvég},
	unique-id = {36077019},
	year = {2025},
	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}
}