Browse 12 peer-reviewed papers from University College London spanning Digital Forensics, Large Language Models (2021–2025). Research powered by Prolific's high-quality participant data.
This page lists 12 peer-reviewed papers from researchers at University College London in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: P. Schoenegger, F. Salvi, J. Liu, X. Nan, R. Debnath, B. Fasolo, E. Leivada, G. Recchia, F. Günther, A. Zarifhonarvar, J. Kwon, Z. Ul Islam, M. Dehnert, D. Y. H. Lee, M. G. Reinecke, D. G. Kamper, M. Kobaş, A. Sandford, J. Kgomo, L. Hewitt, S. Kapoor, K. Oktar, E. E. Kucuk, B. Feng, C. R. Jones, I. Gainsburg, S. Olschewski, N. Heinzelmann, F. Cruz, B. M. Tappin, T. Ma, P. S. Park, R. Onyonka, A. Hjorth, P. Slattery, Q. Zeng, L. Finke, I. Grossmann, A. Salatiello, E. Karger
Year: 2025
Published in: arXiv preprint arXiv ..., 2025 - arxiv.org
Institution: London School of Economics and Political Science, University of Cambridge, University College London, Massachusetts Institute of Technology, University of Oxford, Modulo Research, Stanford University, Federal Reserve Bank of Chicago, ETH Zürich, University of Johannesburg
Research Area: Natural Language Processing
Discipline: Social Science, Artificial Intelligence
This paper compares a frontier LLM (Claude Sonnet 3.5) against incentivized human persuaders in a conversational quiz setting, finding that the AI's persuasion capabilities surpass those of humans with real-money bonuses tied to performance.
Citations: 16
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Authors: HR Kirk, M Bartolo, A Whitefield, P Rottger
Year: 2024
Published in: Advances in ..., 2024 - proceedings.neurips.cc
Institution: Meta, Cohere, AWS AI Labs, Contextual AI, Factored AI, University of Oxford, Bocconi University, Meedan, Hugging Face, University College London, ML Commons, University of Pennsylvania
Research Area: LLM Alignment, Human Feedback, Multicultural Studies
Discipline: Artificial Intelligence, Computational Social Science
The PRISM Alignment Dataset presents a large-scale, culturally diverse human feedback dataset linking sociodemographic profiles of 1,500 participants from 75 countries to their contextual preferences and fine‑grained ratings in 8,011 live conversations with 21 LLMs. This enables analysis of how subjective values vary across people and cultures in LLM alignment data.
DOI: https://doi.org/10.52202/079017-3342
Citations: 204
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Authors: AYJ Ha, J Passananti, R Bhaskar, S Shan
Year: 2024
Published in: Proceedings of the ..., 2024 - dl.acm.org
Institution: University of California Santa Barbara, The University of Chicago, Institute of Education, University College London
Research Area: Human-Computer Interaction, Generative AI, Digital Forensics
Discipline: Human-Computer Interaction, Generative AI, Digital Forensics
The paper investigates the effectiveness of different approaches, including both human and automated detectors, in distinguishing human art from AI-generated images, finding that a combination of methods offers the best performance despite persistent weaknesses.
Methods: Comparison of human art across 7 styles with AI-generated images from 5 generative models, assessed using 5 automated detectors and 3 human groups (crowdworkers, professional artists, expert artists).
Key Findings: Detection accuracy and robustness of human and automated methods in identifying AI-generated images under benign and adversarial conditions.
DOI: 10.1145/3658644.3670306
Citations: 52
Sample Size: 3993
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Authors: RA Stone, A Brown, F Douglas, M Green, E Hunter, M Lonnie, AM Johnstone, CA Hardman, FIO-Food Team
Year: 2024
Published in: Science Direct
Institution: Robert Gordon University, University College London, University of Aberdeen, University of Liverpool
Research Area: Food Insecurity, Public Health, Behavioral Economics (focusing on food purchasing behaviors and preparation practices related to obesity, cost of living)
Discipline: Public Health
The study examines how the UK cost of living crisis affects food purchasing and preparation behaviors in people with obesity, highlighting food insecurity and associated coping strategies, and calls for policy interventions to improve access to healthy foods.
Methods: An online survey was conducted with self-reported data on food insecurity, diet quality, cost of living impact, and food purchasing/preparation behaviors among adults with BMI ≥30 kg/m2 in England or Scotland.
Key Findings: Food insecurity, diet quality, impacts of the cost of living crisis, food purchasing behaviors, and food preparation practices among participants.
Citations: 46
Sample Size: 583
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Authors: C Clemmow, I van der Vegt, B Rottweiler
Year: 2024
Published in: ... and political violence, 2024 - Taylor & Francis
Institution: University College London
Research Area: Crowdsourcing for Violent Extremism Research
Discipline: Computational Social Science
Citations: 12
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Authors: M Glickman, T Sharot
Year: 2023
Published in: Nature Human Behaviour, 2025 - nature.com
Institution: Max Planck University College London Centre, University College London, Affective Brain Lab
Research Area: Human-AI Feedback Loops, Perceptual and Emotional Judgement, Social Psychology
Discipline: Social Science, Psychology
Citations: 180
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Authors: T Hosking, P Blunsom, M Bartolo
Year: 2023
Published in: arXiv preprint arXiv:2309.16349, 2023 - arxiv.org
Institution: Cohere, University of Edinburgh, University College London
Research Area: LLM Evaluation, Limitations of Human Preference Scores, Human-Computer Interaction (HCI) in AI Training
Discipline: Artificial Intelligence
DOI: https://doi.org/10.48550/arXiv.2309.16349
Citations: 72
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Authors: LD Griffin, B Kleinberg, M Mozes, KT Mai, M Vau
Year: 2023
Published in: arXiv preprint arXiv ..., 2023 - arxiv.org
Institution: University College London, Tilburg University
Research Area: LLM Influence, Psychology, Mental Health Research, Large Language Models
Discipline: Artificial Intelligence, Psychology
Citations: 30
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Authors: L Griffin, B Kleinberg, M Mozes, K Mai
Year: 2023
Published in: Proceedings of the ..., 2023 - aclanthology.org
Institution: University College London, Tilburg University
Research Area: LLM Influence and Persuasion, Large Language Models
Discipline: Social Science
Citations: 25
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Authors: V Kewenig, A Lampinen, SA Nastase
Year: 2023
Published in: arXiv preprint arXiv ..., 2023 - arxiv.org
Institution: University College London, Princeton University, Exeter University
Research Area: Computational Linguistics, Cognitive Science
Discipline: Computational Linguistics
DOI: https://doi.org/10.48550/arXiv.2308.06035
Citations: 3
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Authors: TXF Seow, TU Hauser
Year: 2022
Published in: Behavior research methods, 2022 - Springer
Institution: University College London, Max Planck University College London
Research Area: Behavioral Research Methods, Affective Computing, Web-based Experimentation
Discipline: Human-Computer Interaction
Citations: 23
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Authors: KT Mai, S Bray, T Davies, LD Griffin
Year: 2021
Published in: Plos one, 2023 - journals.plos.org
Institution: University College London
Research Area: Speech Processing, Digital Forensics, Perception Studies
Discipline: Human-Computer Interaction, Sound Processing, Audio, Speech Processing
Citations: 112
