Results 1 to 10 of about 16,825 (201)

Reducing the causal illusion: a question of motivation or of information? [PDF]

Royal Society Open Science
The causal illusion is a cognitive bias that involves believing that one event causes another when it does not. It has negative consequences in different spheres of life, including health. Therefore, diverse interventions have been designed to reduce it.
Aranzazu Vinas, Fernando Blanco, Helena Matute   +2 more
doaj   +2 more sources

Debiasing training reduces confirmation bias in national risk analysts [PDF]

Scientific Reports
State risk forecasts are crucial for allocating resources to address international and domestic threats such as war, pandemics, and climate change. These risk forecasts largely rely on human judgment, which is often susceptible to cognitive biases.
Bas Heerma van Voss, Haewon Yoon, Irene Scopelliti, Rowena Zweet, Ira Helsloot, Carey K. Morewedge   +5 more
doaj   +2 more sources

Positive-Unlabeled Learning in Implicit Feedback from Data Missing-Not-At-Random Perspective [PDF]

Entropy
The lack of explicit negative labels issue is a prevalent challenge in numerous domains, including CV, NLP, and Recommender Systems (RSs). To address this challenge, many negative sample completion methods are proposed, such as optimizing sample ...
Sichao Wang, Tianyu Xia, Lingxiao Yang
doaj   +2 more sources

A new dimension of simplified science communication: the easiness effect of science popularization in animated video abstracts [PDF]

Frontiers in Psychology
IntroductionA common approach to make scientific information more accessible for the broader public, is making it easier to understand and translating it into more appealing formats, like short and entertaining online videos.
Sara Salzmann, Charlotte Walther, Kai Kaspar   +2 more
doaj   +2 more sources

NeuronSup:Deep Model Debiasing Based on Bias Neuron Suppression [PDF]

Jisuanji kexue, 2023
With the wide application of deep learning,researchers not only focus on the classification performance of the model,but also need to pay attention to whether the decision of the model is fair and credible.A deep learning model with decision bias may ...
NI Hongjie, LIU Jiawei, ZHENG Haibin, CHEN Yipeng, CHEN Jinyin
doaj   +1 more source

Quota-based debiasing can decrease representation of the most under-represented groups

Royal Society Open Science, 2021
Many important decisions in societies such as school admissions, hiring or elections are based on the selection of top-ranking individuals from a larger pool of candidates.
I. Smirnov, F. Lemmerich, M. Strohmaier
doaj   +1 more source

Cognitive Errors and Debiasing. [PDF]

J Educ Teach Emerg Med
Ginsburg J.
europepmc   +4 more sources

Effective mitigation of the belief perseverance bias after the retraction of misinformation: Awareness training and counter-speech.

PLoS ONE, 2023
The spread and influence of misinformation have become a matter of concern in society as misinformation can negatively impact individuals' beliefs, opinions and, consequently, decisions.
Jana Siebert, Johannes Ulrich Siebert
doaj   +1 more source

Why Should We Study the Foreign Language Effect: Debiasing through Affecting Metacognition?

Journal of Intelligence, 2023
Debiasing is a method of improving people’s decisions by reducing their reliance on salient intuitions causing them to behave suboptimally or biasedly.
Michał Białek
doaj   +1 more source

Debiasing Pre-trained Contextualised Embeddings [PDF]

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
EACL ...
Kaneko, Masahiro, Bollegala, Danushka
openaire   +3 more sources