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Stefan Feuerriegel

Biographic Data

ID1755658
NAMEStefan Feuerriegel
GIVEN NAMESStefan
FAMILY NAMEFeuerriegel
SIGNATUREFEUERRIEGEL S
AFFILIATIONSLudwig-Maximilians-Universität München
ORCID0000-0001-7856-8729
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS30
WORKS AS AUTHOR9
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Public Communication about Science in 68 Countries

    Open Access•Niels G Mede, Viktoria Cologna et al.•ARTICLE•Science Communication•2025•References: 11

    This 68-country survey ( n = 71,922) examines science information diets and communication behavior, identifies cross-country differences, and tests how such differences are associated with sociopolitical and economic conditions. We find that social media are the most used sources of science information in most countries, except those with democratic-corporatist media systems where news media tend to be used more widely. People in collectivist soc…

  • Trust in scientists and their role in society across 68 countries

    Open Access•Viktoria Cologna, Niels G Mede et al.•ARTICLE•Nature Human Behaviour•2025•Cited by: 7•References: 76

    Science is crucial for evidence-based decision-making. Public trust in scientists can help decision makers act on the basis of the best available evidence, especially during crises. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists. We interrogated these concerns with a preregistered 68-country survey of 71,922 respondents and found that in most countries, most p…

  • Generative AI

    Open Access•Stefan Feuerriegel, Jochen Hartmann et al.•ARTICLE•Business & Information Systems…•2024

    Tom Freston is credited with saying “Innovation is taking two things that exist and putting them together in a new way”. For a long time in history, it has been the prevailing assumption that artistic, creative tasks such as writing poems, creating software, designing fashion, and composing songs could only be performed by humans. This assumption has changed drastically with recent advances in artificial intelligence (AI) that can generate new co…

  • Addressing climate change with behavioral science

    Open Access•Madalina Vlasceanu, Kimberly C Doell et al.•ARTICLE•Science Advances•2024

    Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interve…

  • Leveraging large language models to monitor climate technology innovation

    Open Access•Malte Toetzke, Benedict Probst et al.•ARTICLE•Environmental Research Letters•2023

    To achieve net-zero emissions, public policy needs to foster rapid innovation of climate technologies. However, there is a scarcity of comprehensive and up-to-date evidence to guide policymaking by monitoring climate innovation systems. This is notable, especially at the center of the innovation process, where nascent inventions transition into profitable and scalable market solutions. Here, we discuss the potential of large language models (LLMs…

  • Research can help to tackle AI-generated disinformation

    Open Access•Stefan Feuerriegel, Renée Diresta et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 1•References: 10

  • Negativity drives online news consumption

    Open Access•Carol E Robertson, Nicolas Pröllochs et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 20•References: 65

    Online media is important for society in informing and shaping opinions, hence raising the question of what drives online news consumption. Here we analyse the causal effect of negative and emotional words on news consumption using a large online dataset of viral news stories. Specifically, we conducted our analyses using a series of randomized controlled trials (N = 22,743). Our dataset comprises ~105,000 different variations of news stories fro…

  • Monitoring global development aid with machine learning

    Open Access•Malte Toetzke, Nicolas Banholzer et al.•ARTICLE•Nature Sustainability•2022•Cited by: 2•References: 2

  • Longitudinal healthcare analytics for disease management

    Open Access•Michael Mueller-Peltzer, Stefan Feuerriegel et al.•ARTICLE•Decision Support Systems•2020

    Clinician guidelines recommend health management to tailor the form of care to the expected course of diseases. Hence, in order to decide upon a suitable treatment plan, health professionals benefit from decision support, i.e., predictions about how a disease is to evolve. In clinical practice, such a prediction model requires interpretability. Interpretability, however, is often precluded by complex dynamic models that would be capable of captur…

  • Negativity drives online news consumption

    Open Access•Carol E Robertson, Nicolas Pröllochs et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 20•References: 65

    Online media is important for society in informing and shaping opinions, hence raising the question of what drives online news consumption. Here we analyse the causal effect of negative and emotional words on news consumption using a large online dataset of viral news stories. Specifically, we conducted our analyses using a series of randomized controlled trials (N = 22,743). Our dataset comprises ~105,000 different variations of news stories fro…

  • Trust in scientists and their role in society across 68 countries

    Open Access•Viktoria Cologna, Niels G Mede et al.•ARTICLE•Nature Human Behaviour•2025•Cited by: 7•References: 76

    Science is crucial for evidence-based decision-making. Public trust in scientists can help decision makers act on the basis of the best available evidence, especially during crises. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists. We interrogated these concerns with a preregistered 68-country survey of 71,922 respondents and found that in most countries, most p…

  • Monitoring global development aid with machine learning

    Open Access•Malte Toetzke, Nicolas Banholzer et al.•ARTICLE•Nature Sustainability•2022•Cited by: 2•References: 2

  • Research can help to tackle AI-generated disinformation

    Open Access•Stefan Feuerriegel, Renée Diresta et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 1•References: 10

  • Longitudinal healthcare analytics for disease management

    Open Access•Michael Mueller-Peltzer, Stefan Feuerriegel et al.•ARTICLE•Decision Support Systems•2020

    Clinician guidelines recommend health management to tailor the form of care to the expected course of diseases. Hence, in order to decide upon a suitable treatment plan, health professionals benefit from decision support, i.e., predictions about how a disease is to evolve. In clinical practice, such a prediction model requires interpretability. Interpretability, however, is often precluded by complex dynamic models that would be capable of captur…

  • Monitoring global development aid with machine learning

    Open Access•Malte Toetzke, Nicolas Banholzer et al.•ARTICLE•Nature Sustainability•2022•Cited by: 2•References: 2

  • Leveraging large language models to monitor climate technology innovation

    Open Access•Malte Toetzke, Benedict Probst et al.•ARTICLE•Environmental Research Letters•2023

    To achieve net-zero emissions, public policy needs to foster rapid innovation of climate technologies. However, there is a scarcity of comprehensive and up-to-date evidence to guide policymaking by monitoring climate innovation systems. This is notable, especially at the center of the innovation process, where nascent inventions transition into profitable and scalable market solutions. Here, we discuss the potential of large language models (LLMs…

  • Research can help to tackle AI-generated disinformation

    Open Access•Stefan Feuerriegel, Renée Diresta et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 1•References: 10

  • Negativity drives online news consumption

    Open Access•Carol E Robertson, Nicolas Pröllochs et al.•ARTICLE•Nature Human Behaviour•2023•Cited by: 20•References: 65

    Online media is important for society in informing and shaping opinions, hence raising the question of what drives online news consumption. Here we analyse the causal effect of negative and emotional words on news consumption using a large online dataset of viral news stories. Specifically, we conducted our analyses using a series of randomized controlled trials (N = 22,743). Our dataset comprises ~105,000 different variations of news stories fro…

  • Generative AI

    Open Access•Stefan Feuerriegel, Jochen Hartmann et al.•ARTICLE•Business & Information Systems…•2024

    Tom Freston is credited with saying “Innovation is taking two things that exist and putting them together in a new way”. For a long time in history, it has been the prevailing assumption that artistic, creative tasks such as writing poems, creating software, designing fashion, and composing songs could only be performed by humans. This assumption has changed drastically with recent advances in artificial intelligence (AI) that can generate new co…

  • Addressing climate change with behavioral science

    Open Access•Madalina Vlasceanu, Kimberly C Doell et al.•ARTICLE•Science Advances•2024

    Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interve…

  • Public Communication about Science in 68 Countries

    Open Access•Niels G Mede, Viktoria Cologna et al.•ARTICLE•Science Communication•2025•References: 11

    This 68-country survey ( n = 71,922) examines science information diets and communication behavior, identifies cross-country differences, and tests how such differences are associated with sociopolitical and economic conditions. We find that social media are the most used sources of science information in most countries, except those with democratic-corporatist media systems where news media tend to be used more widely. People in collectivist soc…

  • Trust in scientists and their role in society across 68 countries

    Open Access•Viktoria Cologna, Niels G Mede et al.•ARTICLE•Nature Human Behaviour•2025•Cited by: 7•References: 76

    Science is crucial for evidence-based decision-making. Public trust in scientists can help decision makers act on the basis of the best available evidence, especially during crises. However, in recent years the epistemic authority of science has been challenged, causing concerns about low public trust in scientists. We interrogated these concerns with a preregistered 68-country survey of 71,922 respondents and found that in most countries, most p…

Computer Science (5 works) · Climate Change Communication and Perception (4 works) · Data science (4 works) · Misinformation and Its Impacts (4 works) · Psychology (4 works) · Artificial Intelligence (3 works) · Business (3 works) · Climate change (2 works) · Economics (2 works) · Ethics and Social Impacts of AI (2 works)

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