Dirk U Wulff
Biographic Data
| ID | 1662037 |
|---|---|
| NAME | Dirk U Wulff |
| GIVEN NAMES | Dirk U |
| FAMILY NAME | Wulff |
| SIGNATURE | WULFF D U |
| AFFILIATIONS | University of Basel |
| ORCID | 0000-0002-4008-8022 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Semantic embeddings reveal and address taxonomic incommensurability in psychological measurement
Taxonomic incommensurability denotes the difficulty in comparing scientific theories due to different uses of concepts and operationalizations. To tackle this problem in psychology, here we use language models to obtain semantic embeddings representing psychometric items, scales and construct labels in a vector space. This approach allows us to analyse different datasets (for example, the International Personality Item Pool) spanning thousands of…
Affect in science communication: A data-driven analysis of TED Talks on YouTube
Science communication is evolving: Increasingly, it is directed at the public rather than academic peers. Understanding the circumstances under which the public engages with scientific content is therefore crucial to improving science communication. In this article, we investigate the role of affect on audience engagement with a modern form of science communication: TED Talks on the social media platform YouTube. We examined how two aspects of af…
Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals
A number of labeling systems based on text have been proposed to help monitor work on the United Nations (UN) Sustainable Development Goals (SDGs). Here, we present a systematic comparison of prominent SDG labeling systems using a variety of text sources and show that these differ considerably in their sensitivity (i.e., true-positive rate) and specificity (i.e., true-negative rate), have systematic biases (e.g., are more sensitive to specific SD…
Convergence of Age Differences in Risk Preference, Impulsivity, and Self-Control: A Multiverse Analysis
Our findings call for conceptual clarification and improved operationalization to capture the putative mechanisms underlying age-related differences in risk preference and related constructs
How large language models can reshape collective intelligence
A Description–Experience Framework of the Psychology of Risk
The modern world holds countless risks for humanity, both large-scale and intimately personal—from cyberwarfare, pandemics, and climate change to sexually transmitted diseases and drug use and abuse. Many risks have prompted institutional, regulatory, and technological countermeasures, the success of which depends to some extent on how individuals learn about the risks in question. We distinguish between two powerful but imperfect teachers of ris…
Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics
Network science provides a set of quantitative methods to investigate complex systems, including human cognition. Although cognitive theories in different domains are strongly based on a network perspective, the application of network science methodologies to quantitatively study cognition has so far been limited in scope. This review demonstrates how network science approaches have been applied to the study of human cognition and how network sci…
A meta-analytic review of two modes of learning and the description-experience gap
People can learn about the probabilistic consequences of their actions in two ways: One is by consulting descriptions of an action's consequences and probabilities (e.g., reading up on a medication's side effects). The other is by personally experiencing the probabilistic consequences of an action (e.g., beta testing software). In principle, people taking each route can reach analogous states of knowledge and consequently make analogous decisions…
Online Product Reviews and the Description–Experience Gap
People can access information about choices in at least two ways: via summary descriptions that provide an overview of potential outcomes and their likelihood of occurrence or via sequential presentation of outcomes. Provided with the former, people make decisions from description ; with the latter, they make decisions from experience . Recent investigations involving risky choices have demonstrated a robust and systematic description–experience …
How large language models can reshape collective intelligence
Online Product Reviews and the Description–Experience Gap
People can access information about choices in at least two ways: via summary descriptions that provide an overview of potential outcomes and their likelihood of occurrence or via sequential presentation of outcomes. Provided with the former, people make decisions from description ; with the latter, they make decisions from experience . Recent investigations involving risky choices have demonstrated a robust and systematic description–experience …
Online Product Reviews and the Description–Experience Gap
People can access information about choices in at least two ways: via summary descriptions that provide an overview of potential outcomes and their likelihood of occurrence or via sequential presentation of outcomes. Provided with the former, people make decisions from description ; with the latter, they make decisions from experience . Recent investigations involving risky choices have demonstrated a robust and systematic description–experience …
A meta-analytic review of two modes of learning and the description-experience gap
People can learn about the probabilistic consequences of their actions in two ways: One is by consulting descriptions of an action's consequences and probabilities (e.g., reading up on a medication's side effects). The other is by personally experiencing the probabilistic consequences of an action (e.g., beta testing software). In principle, people taking each route can reach analogous states of knowledge and consequently make analogous decisions…
Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics
Network science provides a set of quantitative methods to investigate complex systems, including human cognition. Although cognitive theories in different domains are strongly based on a network perspective, the application of network science methodologies to quantitatively study cognition has so far been limited in scope. This review demonstrates how network science approaches have been applied to the study of human cognition and how network sci…
A Description–Experience Framework of the Psychology of Risk
The modern world holds countless risks for humanity, both large-scale and intimately personal—from cyberwarfare, pandemics, and climate change to sexually transmitted diseases and drug use and abuse. Many risks have prompted institutional, regulatory, and technological countermeasures, the success of which depends to some extent on how individuals learn about the risks in question. We distinguish between two powerful but imperfect teachers of ris…
Affect in science communication: A data-driven analysis of TED Talks on YouTube
Science communication is evolving: Increasingly, it is directed at the public rather than academic peers. Understanding the circumstances under which the public engages with scientific content is therefore crucial to improving science communication. In this article, we investigate the role of affect on audience engagement with a modern form of science communication: TED Talks on the social media platform YouTube. We examined how two aspects of af…
Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals
A number of labeling systems based on text have been proposed to help monitor work on the United Nations (UN) Sustainable Development Goals (SDGs). Here, we present a systematic comparison of prominent SDG labeling systems using a variety of text sources and show that these differ considerably in their sensitivity (i.e., true-positive rate) and specificity (i.e., true-negative rate), have systematic biases (e.g., are more sensitive to specific SD…
Convergence of Age Differences in Risk Preference, Impulsivity, and Self-Control: A Multiverse Analysis
Our findings call for conceptual clarification and improved operationalization to capture the putative mechanisms underlying age-related differences in risk preference and related constructs
How large language models can reshape collective intelligence
Semantic embeddings reveal and address taxonomic incommensurability in psychological measurement
Taxonomic incommensurability denotes the difficulty in comparing scientific theories due to different uses of concepts and operationalizations. To tackle this problem in psychology, here we use language models to obtain semantic embeddings representing psychometric items, scales and construct labels in a vector space. This approach allows us to analyse different datasets (for example, the International Personality Item Pool) spanning thousands of…
Psychology (8 works) · Computer Science (7 works) · Artificial Intelligence (4 works) · Decision-Making and Behavioral Economics (4 works) · Mental Health Research Topics (4 works) · Social Psychology (4 works) · Cognitive psychology (3 works) · Data science (3 works) · Epistemology (3 works) · Misinformation and Its Impacts (3 works)