Gabriel Recchia

Computer Science · Physical Sciences

23h-index5.2kcitations75works2.52yr avg
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Research Topics

Topic Modeling(16), Natural Language Processing Techniques(14), Misinformation and Its Impacts(9), Risk Perception and Management(6), Psychology of Moral and Emotional Judgment(6)

Publications74 total

Large Language Models Are More Persuasive Than Incentivized Human Persuaders
ArXiv.org·2025· 2 citedOpen Access
DIGITAL HEALTH AND ARTERIAL HYPERTENSION: RESULTS OF THE 1ST ITALIAN SURVEY RESEARCH
European Heart Journal Supplements·2025
FindTheFlaws: Annotated Errors for Detecting Flawed Reasoning and Scalable Oversight Research
arXiv (Cornell University)·2025Open Access
Foundational Challenges in Assuring Alignment and Safety of Large Language Models
arXiv (Cornell University)·2024· 13 citedOpen Access
What Affects Perceived Trustworthiness of Online Medical Information and Subsequent Treatment Decision Making? Randomized Trials on the Role of Uncertainty and Institutional Cues
MDM Policy & Practice·2024Open Access
The Idea of Government in the British Eighteenth Century
Cambridge University Press eBooks·2023
Distributional Concept Analysis and the Digital History of Ideas
Cambridge University Press eBooks·2023· 1 cited
The Idea of Liberty, 1600–1800
Cambridge University Press eBooks·2023
Inverse Scaling: When Bigger Isn't Better
arXiv (Cornell University)·2023· 22 citedOpen Access
Do colored cells in risk matrices affect decision‐making and risk perception? Insights from randomized controlled studies
Risk Analysis·2023· 8 citedOpen Access
Making BRCA1 genetic test reports easier to understand through user-centered design: A randomized trial
Genetics in Medicine·2022· 8 citedOpen Access
Evaluating artificially generated answers to hard questions
Open Science Framework·2022Open Access
DIGITAL THERAPEUTICS IN ONCOLOGY: FINDINGS, BARRIERS AND PROSPECTS. A NARRATIVE REVIEW
Annals of Research in Oncology·2022· 23 citedOpen Access
Investigating the presentation of uncertainty in an icon array: A randomized trial
PEC Innovation·2021· 12 citedOpen Access
How People Understand Risk Matrices, and How Matrix Design Can Improve their Use: Findings from Randomized Controlled Studies
Risk Analysis·2021· 23 citedOpen Access
Teaching Autoregressive Language Models Complex Tasks By Demonstration
arXiv (Cornell University)·2021Open Access
Clinical Impact of the Predict Prostate Risk Communication Tool in Men Newly Diagnosed with Nonmetastatic Prostate Cancer: A Multicentre Randomised Controlled Trial
European Urology·2021· 16 citedOpen Access
Correlates of intended COVID-19 vaccine acceptance across time and countries: results from a series of cross-sectional surveys
BMJ Open·2021· 118 citedOpen Access
Superforecasters: what pandemic planners can learn from the world’s best predictors
2021
Who was better at predicting the course of the pandemic – experts or the public?
2021
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Frequent Co-authors

Alexandra L. J. Freeman(16), Sarah Dryhurst(9), Claudia R. Schneider(8), John R. Kerr(7), Michael N. Jones(6), Sander van der Linden(5), Max M. Louwerse(5), Paul Nulty(5), David Spiegelhalter(4), Alice C.E. Lawrence(4), Peter de Bolla(4), Ewan Jones(4), Michael N. Jones(3), Thomas M. Gruenenfelder(3), Anne Marthe van der Bles(2), Brendan T. Johns(2), Bridgette Martin Hard(2), Ullrika Sahlin(2), Carole Dufouil(2), Pierre Arwidson(2)