6 papers
Prosocial Persuasion at Scale? Large Language Models Outperform Humans in Donation Appeals Across Levels of Personalization
John Caffier, Olga Stavrova, Bennett Kleinberg
Large Language Models (LLMs) are increasingly regarded as having the potential to generate persuasive content at scale. While previous studies have focused on the risks associated…
Humans incorrectly reject confident accusatory AI judgments
Riccardo Loconte, Merylin Monaro, Pietro Pietrini +2
Automated verbal deception detection using methods from Artificial Intelligence (AI) has been shown to outperform humans in disentangling lies from truths. Research suggests that t…
The Feature Understandability Scale for Human-Centred Explainable AI: Assessing Tabular Feature Importance
Nicola Rossberg, Bennett Kleinberg, Barry O'Sullivan +2
As artificial intelligence becomes increasingly pervasive and powerful, the ability to audit AI-based systems is growing in importance. However, explainability for artificial intel…
Effective faking of verbal deception detection with target-aligned adversarial attacks
Bennett Kleinberg, Riccardo Loconte, Bruno Verschuere
Background: Deception detection through analysing language is a promising avenue using both human judgments and automated machine learning judgments. For both forms of credibility…
Translating the Grievance Dictionary: a psychometric evaluation of Dutch, German, and Italian versions
Isabelle van der Vegt, Bennett Kleinberg, Marilu Miotto +1
This paper introduces and evaluates three translations of the Grievance Dictionary, a psycholinguistic dictionary for the analysis of violent, threatening or grievance-fuelled text…
Conflicts of Interest in Published NLP Research 2000-2024
Maarten Bosten, Bennett Kleinberg
Natural Language Processing research is increasingly reliant on large scale data and computational power. Many achievements in the past decade resulted from collaborations with the…