Output
Publications
For all academic publications (peer-reviewed papers and preprints), see:
List last updated November 2025.
Note: conference proceedings papers are the premier outlet for research in Natural Language Processing and computational sciences and have a competitive peer-reviewing process.
- 2025
Effective faking of verbal deception detection with target‐aligned adversarial attacks
Kleinberg, B., Loconte, R., & Verschuere, B.
Legal and Criminological Psychology, lcrp.70001DOI
- 2025
Examining embedded lies through computational text analysis
Loconte, R., & Kleinberg, B.
Scientific Reports, 15(1), 26482DOI
- 2025
A Filtering Response Time Concealed Information Test for Searching for Relevant Concealed Items
Lukács, G., Kleinberg, B., Fekete, A., & Matsuda, I.
Applied Cognitive Psychology, 39(5), e70114DOI
- 2025
Capturing causal claims: A fine-tuned text mining model for extracting causal sentences from social science papers
Norouzi, R., Kleinberg, B., Vermunt, J. K., & Van Lissa, C. J.
Research Synthesis Methods, 1–18DOI
- 2025
Cognitive phantoms in large language models through the lens of latent variables
Peereboom, S., Schwabe, I., & Kleinberg, B.
Computers in Human Behavior: Artificial Humans, 4, 100161DOI
- 2025
Scientific publications that use promotional language in the abstract receive more citations and public attention
Stavrova, O., Kleinberg, B., Evans, A. M., & Ivanović, M.
Communications Psychology, 3(1), 118DOI
- 2025
Conflicts of Interest in Published NLP Research 2000–2024
Bosten, M., & Kleinberg, B.
(No. arXiv:2502.16218). arXivDOI
- 2025
The Feature Understandability Scale for Human-Centred Explainable AI: Assessing Tabular Feature Importance
Rossberg, N., Kleinberg, B., O’Sullivan, B., Longo, L., & Visentin, A.
(No. arXiv:2510.07050). arXivDOI
- 2025
Translating the Grievance Dictionary: A psychometric evaluation of Dutch, German, and Italian versions
van der Vegt, I., Kleinberg, B., Miotto, M., & Festor, J.
(No. arXiv:2505.07495). arXivDOI
- 2025
How Dutch legal professionals assess statement credibility: Evidence from a survey and an analysis of 518 court rulings on sexual abuse
Verschuere, B., Kleinberg, B., Van Kolfschooten, M., Bolhoven, L., & Rassin, E.
Open Science FrameworkDOI
- 2024
Quali metodi per la valutazione dei Large Language Models (LLM)? Riflessioni sull’uso di un approccio neuropsicologico e sullo sviluppo di una psicometria dei LLM
Loconte, R., Kleinberg, B., & Monaro, M.
Giornale italiano di psicologia, 3, 579–584DOI
- 2024
Expressions of uncertainty in online science communication hinder information diffusion
Stavrova, O., Kleinberg, B., Evans, A. M., & Ivanović, M.
PNAS Nexus, 3(10), pgae439DOI
- 2024
Large language models in cryptocurrency securities cases: Can a GPT model meaningfully assist lawyers?
Trozze, A., Davies, T., & Kleinberg, B.
Artificial Intelligence and LawDOI
- 2024
Detecting DeFi securities violations from token smart contract code
Trozze, A., Kleinberg, B., & Davies, T.
Financial Innovation, 10(1), 78DOI
- 2024
SOBR: A Corpus for Stylometry, Obfuscation, and Bias on Reddit
Emmery, C., Miotto, M., Kramp, S., & Kleinberg, B.
In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 14967–14983). ELRA and ICCLACL
- 2024
Trying to be human: Linguistic traces of stochastic empathy in language models
Kleinberg, B., Zegers, J., Festor, J., Vida, S., Präsent, J., Loconte, R., & Peereboom, S.
(No. arXiv:2410.01675). arXivDOI
- 2024
From cryptomarkets to the surface web: Scouting eBay for counterfeits
Soldner, F., Plum, F., Kleinberg, B., & Johnson, S. D.
(Version 1). arXivDOI
- 2024
Beyond the sample: Individual differences in psychological responses to the COVID-19 pandemic
Zegers, J., & Kleinberg, B.
- 2024
- 2023
Infections in Biological and Targeted Synthetic Drug Use in Rheumatoid Arthritis: Where do We Stand? A Scoping Review and Meta-analysis
Bergmans, B. J. M., Gebeyehu, B. Y., Van Puijenbroek, E. P., Van Deun, K., Kleinberg, B., Murk, J.-L., & De Vries, E.
Rheumatology and TherapyDOI
- 2023
Testing human ability to detect ‘deepfake’ images of human faces
Bray, S. D., Johnson, S. D., & Kleinberg, B.
Journal of Cybersecurity, 9(1), tyad011DOI
- 2023
Counterfeits on dark markets: A measurement between Jan-2014 and Sep-2015
Soldner, F., Kleinberg, B., & Johnson, S. D.
Crime Science, 12(1), 18DOI
- 2023
Of degens and defrauders: Using open-source investigative tools to investigate decentralized finance frauds and money laundering
Trozze, A., Davies, T., & Kleinberg, B.
Forensic Science International: Digital Investigation, 46, 301575DOI
- 2023
A multi-modal panel dataset to understand the psychological impact of the pandemic
Van Der Vegt, I., & Kleinberg, B.
Scientific Data, 10(1), 537DOI
- 2023
Proceed with caution: On the use of computational linguistics in threat assessment
van der Vegt, I., Kleinberg, B., & Gill, P.
Journal of Policing, Intelligence and Counter Terrorism, 1–9DOI
- 2023
The use-the-best heuristic facilitates deception detection
Verschuere, B., Lin, C.-C., Huismann, S., Kleinberg, B., Willemse, M., Mei, E. C. J., Van Goor, T., Löwy, L. H. S., Appiah, O. K., & Meijer, E.
Nature Human Behaviour, 7(5), 718–728DOI
- 2023
Large Language Models respond to Influence like Humans
Griffin, L., Kleinberg, B., Mozes, M., Mai, K., Vau, M. D. M., Caldwell, M., & Mavor-Parker, A.
Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023) , 15–24DOI
- 2023
Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities
Mozes, M., He, X., Kleinberg, B., & Griffin, L. D.
(No. arXiv:2308.12833). arXivarXiv
- 2023
Textwash: Automated, Learning-Based Text Anonymisation
Mozes, M., & Kleinberg, B.
[Computer software]GitHub
- 2022
A many-analysts approach to the relation between religiosity and well-being
Hoogeveen, S., Sarafoglou, A., Aczel, B., Aditya, Y., Alayan, A. J., Allen, P. J., Altay, S., Alzahawi, S., Amir, Y., Anthony, F.-V., Kwame Appiah, O., Atkinson, Q. D., Baimel, A., Balkaya-Ince, M., Balsamo, M., Banker, S., Bartoš, F., Becerra, M., Beffara, B., … Wagenmakers, E.-J.
Religion, Brain & Behavior, 1–47DOI
- 2022
Confounds and overestimations in fake review detection: Experimentally controlling for product-ownership and data-origin
Soldner, F., Kleinberg, B., & Johnson, S. D.
PLOS ONE, 17(12), e0277869DOI
- 2022
Explaining prosecution outcomes for cryptocurrency-based financial crimes
Trozze, A., Davies, T., & Kleinberg, B.
Journal of Money Laundering ControlDOI
- 2022
Cryptocurrencies and future financial crime
Trozze, A., Kamps, J., Akartuna, E. A., Hetzel, F. J., Kleinberg, B., Davies, T., & Johnson, S. D.
Crime Science, 11(1), 1DOI
- 2022
Assessment procedures in anonymously written threats of harm and violence
van der Vegt, I., Gregory, P., van der Meer, B. B., Yang, J., Kleinberg, B., & Gill, P.
Journal of Threat Assessment and ManagementDOI
- 2022
Predicting author profiles from online abuse directed at public figures
van der Vegt, I., Kleinberg, B., & Gill, P.
Journal of Threat Assessment and ManagementDOI
- 2022
Who is GPT-3? An exploration of personality, values and demographics
Miotto, M., Rossberg, N., & Kleinberg, B.
Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS) , 218–227ACL
- 2022
Identifying Human Strategies for Generating Word-Level Adversarial Examples
Mozes, M., Kleinberg, B., & Griffin, L.
Findings of the Association for Computational Linguistics: EMNLP 2022 , 6118–6126ACL
- 2022
- 2022
Textwash—Automated open-source text anonymisation
Kleinberg, B., Davies, T., & Mozes, M.
arXiv:2208.13081DOI
- 2022
Cryptocurrencies: Boons and curses for fraud prevention
Kamps, J., Trozze, A., & Kleinberg, B.
In Y. Hanoch & S. Wood (Eds.), A fresh look at fraud: Theoretical and applied perspectives. Routledge
- 2022
Trends in online consumer fraud: A data science perspective
Soldner, F., Kleinberg, B., & Johnson, S.
In Y. Hanoch & S. Wood (Eds.), A fresh look at fraud: Theoretical and applied perspectives. Routledge
- 2022
Understanding Lone-Actor Violence through Linguistic Analysis
Van der Vegt, I., Kleinberg, B., & Gill, P.
In J. C. Holzer, A. J. Dew, P. R. Recupero, & P. Gill (Eds.), Lone-actor terrorism: An integrated framework. Oxford University Press
- 2022
Linguistic Threat Assessment: Challenges and Opportunities
Van der Vegt, I., Kleinberg, B., & Gill, P.
Crest Security Review, 13(Winter 2022), 12–13
- 2022
netanos: Named Entity-based Text ANonymization for Open Science
Mozes, M., & Kleinberg, B.
[Computer software]npm
- 2021
How humans impair automated deception detection performance
Kleinberg, B., & Verschuere, B.
Acta Psychologica, 213, 103250DOI
- 2021
A repeated-measures study on emotional responses after a year in the pandemic
Mozes, M., van der Vegt, I., & Kleinberg, B.
Scientific Reports, 11(1), 23114DOI
- 2021
Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis
Schweinsberg, M., Feldman, M., Staub, N., […] Kleinberg, B. […] Luis Uhlmann, E.
Organizational Behavior and Human Decision ProcessesDOI
- 2021
Online influence, offline violence: Language use on YouTube surrounding the ‘Unite the Right’ rally
van der Vegt, I., Mozes, M., Gill, P., & Kleinberg, B.
Journal of Computational Social Science, 4(1), 333–354DOI
- 2021
The Grievance Dictionary: Understanding threatening language use
van der Vegt, I., Mozes, M., Kleinberg, B., & Gill, P.
Behavior Research MethodsDOI
- 2021
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification
Mozes, M., Bartolo, M., Stenetorp, P., Kleinberg, B., & Griffin, L.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , 8258–8270ACL
- 2021
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
Mozes, M., Stenetorp, P., Kleinberg, B., & Griffin, L.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume , 171–186ACL
- 2021
No Intruder, no Validity: Evaluation Criteria for Privacy-Preserving Text Anonymization
Mozes, M., & Kleinberg, B.
arXiv:2103.09263 [Cs]arXiv
- 2021
Policy brief: Cryptocurrencies and future crime (Dawes Centre for Future Crime)
Akartuna, E. A., Hetzel, F. J., & Kleinberg, B.
[Policy Brief]
- 2021
A Complex Matter: Examining Reporting on Terrorism in the UK
Royal United Services Institute & (RUSI) for Defence and Security Studies.
- 2021
neatStats: Neat and Painless Statistical Reporting
Lukács, G., van Doorn, J., & Kleinberg, B.
[Computer software]CRAN
- 2020
The temporal evolution of a far-right forum
Kleinberg, B., van der Vegt, I., & Gill, P.
Journal of Computational Social ScienceDOI
- 2020
Response Time Concealed Information Test on Smartphones
Lukács, G., Kleinberg, B., Kunzi, M., & Ansorge, U.
Collabra: Psychology, 6(1), 4DOI
- 2020
“Spotting the signs” of trafficking recruitment online: Exploring the characteristics of advertisements targeted at migrant job-seekers
Volodko, A., Cockbain, E., & Kleinberg, B.
Trends in Organized CrimeDOI
- 2020
Women Worry About Family, Men About the Economy: Gender Differences in Emotional Responses to COVID-19
van der Vegt, I., & Kleinberg, B.
Social Informatics, 12467 , 397–409DOI
- 2020
Measuring Emotions in the COVID-19 Real World Worry Dataset
Kleinberg, B., van der Vegt, I., & Mozes, M.
Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020. ACL-NLP-COVID19 2020, Online. · 2020, JulyACL
- 2020
- 2020
Violent music vs violence and music: Drill rap and violent crime in London
Kleinberg, B., & McFarlane, P.
arXiv:2004.04598 [Cs]arXiv
- 2020
- 2020
Political Drillin? What machine learning tells us about the reality of drill music
McFarlane, P., & Kleinberg, B.
Policing Insight · 2020, March 9Policing Insight
- 2019
Being accurate about accuracy in verbal deception detection
Kleinberg, B., Arntz, A., & Verschuere, B.
PLOS ONE, 14(8), e0220228DOI
- 2019
Shedding Light on Terrorist and Extremist Content Removal
van der Vegt, I., Gill, P., Macdonald, S., & Kleinberg, B.
Global Research Network on Terrorism and TechnologyRUSI
- 2019
Uphill from here: Sentiment patterns in videos from left- and right-wing YouTube news channels
Soldner, F., Ho, J. C., Makhortykh, M., van der Vegt, I., Mozes, M., & Kleinberg, B.
Workshop on Natural Language Processing and Computational Social Science. NAACL
- 2019
Detecting Deceptive Intentions: Possibilities for Large-Scale Applications
Kleinberg, B., Arntz, A., & Verschuere, B.
In T. Docan-Morgan (Ed.), The Palgrave Handbook of Deceptive Communication (pp. 403–427). Springer International PublishingDOI
- 2019
Cryptocurrency pump-and-dumps
Kamps, J., & Kleinberg, B.
BioMedCentral - On Society · 2019, January 22
- 2019
Being Honest About Deception Detection: Between popular idea and scientific evidence
Kleinberg, B., & Verschuere, B.
Aviation Security International Magazine · 2019, April 16
- 2019
Making sensitive text data accessible for computational social science—SAGE Ocean | Big Data, New Tech, Social Science
Kleinberg, B., Mozes, M., & Davies, T.
SAGE Ocean · 2019, July 18SAGE Ocean
- 2019
What does it mean to anonymize text? — SAGE Ocean | Big Data, New Tech, Social Science
Kleinberg, B., Mozes, M., & Davies, T.
SAGE Ocean · 2019, November 28SAGE Ocean
- 2018
To the moon: Defining and detecting cryptocurrency pump-and-dumps
Kamps, J., & Kleinberg, B.
Crime Science, 7(1), 18
- 2018
Using named entities for computer-automated verbal deception detection
Kleinberg, B., Mozes, M., Arntz, A., & Verschuere, B.
Journal of Forensic Sciences, 63(3), 714–723
- 2018
Automated verbal credibility assessment of intentions: The model statement technique and predictive modeling
Kleinberg, B., Van Der Toolen, Y., Vrij, A., Arntz, A., & Verschuere, B.
Applied Cognitive Psychology, 32(3), 354–366
- 2018
The first direct replication on using verbal credibility assessment for the detection of deceptive intentions
Kleinberg, B., Warmelink, L., Arntz, A., & Verschuere, B.
Applied Cognitive Psychology, 32(5), 592–599
- 2018
Using more different and more familiar targets improves the detection of concealed information
Suchotzki, K., De Houwer, J., Kleinberg, B., & Verschuere, B.
Acta Psychologica, 185, 65–71
- 2018
Identifying the sentiment styles of YouTube’s vloggers
Kleinberg, B., Mozes, M., & van der Vegt, I.
3581–3590ACL
- 2018
Automatic Detection of Fake News
Pérez-Rosas, V., Kleinberg, B., Lefevre, A., & Mihalcea, R.
Proceedings of the 27th International Conference on Computational Linguistics , 3391–3401ACL
- 2018
Detecting Concealed Information on a Large Scale: Possibilities and Problems
Kleinberg, B., van der Toolen, Y., Arntz, A., & Verschuere, B.
In J. P. Rosenfeld (Ed.), Detecting Concealed Information and Deception: Recent Developments (p. 377)
- 2017
Web-based text anonymization with Node.js: Introducing NETANOS (Named entity-based Text Anonymization for Open Science)
Kleinberg, B., & Mozes, M.
The Journal of Open Source Software, 2(14)
- 2017
An investigation on the detectability of deceptive intent about flying through verbal deception detection
Kleinberg, B., Nahari, G., Arntz, A., & Verschuere, B.
Collabra: Psychology, 3(1)
- 2017
Familiarity-related fillers improve the validity of reaction time-based memory detection
Lukács, G., Kleinberg, B., & Verschuere, B.
Journal of Applied Research in Memory and Cognition, 6(3), 295–305
- 2017
Assessing autobiographical memory: The web-based autobiographical Implicit Association Test
Verschuere, B., & Kleinberg, B.
Memory, 25(4), 520–530
- 2017
NETANOS—Named entity-based text anonymization for open science
Kleinberg, B., Mozes, M., van der Toolen, Y., & Verschuere, B.
OSF Preprints, 10
- 2016
The role of motivation to avoid detection in reaction time-based concealed information detection
Kleinberg, B., & Verschuere, B.
Journal of Applied Research in Memory and Cognition, 5(1), 43–51
- 2016
Less is more? Detecting lies in veiled witnesses
Leach, A.-M., Ammar, N., England, D. N., Remigio, L. M., Kleinberg, B., & Verschuere, B. J.
Law and Human Behavior, 40(4), 401
- 2016
ID-Check: Online Concealed Information Test Reveals True Identity
Verschuere, B., & Kleinberg, B.
Journal of Forensic Sciences, 61, S237–S240
- 2016
Using the verifiability of details as a test of deception: A conceptual framework for the automation of the verifiability approach
Kleinberg, B., Nahari, G., & Verschuere, B.
Proceedings of the Second Workshop on Computational Approaches to Deception Detection , 18–25
- 2015
Memory Detection 2.0: The First Web-Based Memory Detection Test
Kleinberg, B., & Verschuere, B.
PLOS ONE, 10(4), e0118715DOI
- 2015
Estimating the reproducibility of psychological science
Open Science Collaboration.
Science, 349(6251), aac4716
- 2015
RT-based memory detection: Item saliency effects in the single-probe and the multiple-probe protocol
Verschuere, B., Kleinberg, B., & Theocharidou, K.
Journal of Applied Research in Memory and Cognition, 4(1), 59–65
- n.d.
Targeted shifting of attitudes towards women with LLM-generated arguments
Kleinberg, B., Griffin, L. D., Rottweiler, B., Miotto, M., Rossberg, N., Praesent, J., & Gal, J.
In Preparation
- n.d.
Learning to convince from another AI: reinforcement-based argument generation
Kleinberg, B., Präsent, J., Gal, J., & Griffin, L. D.
In Preparation