Results 81 to 90 of about 62,713 (311)

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Animal‐Based Brands Taking the Plant‐Based Opportunity: A Tasting Experiment Exploring Consumer Acceptance of Plant‐Based Brand Extensions

Agribusiness, EarlyView.
ABSTRACT This study investigates how consumer taste and brand equity perceptions shape the acceptance of plant‐based milk products. Using a blind/informed tasting experiment, we evaluated consumers' willingness to buy (WTB) and taste perception of a plant‐based milk alternative produced by a traditional dairy brand, compared with competing plant‐based ...
Federico Parmiggiani, Mirta Casati, Elena Castellari, Fosca Vezzulli, Veronica Vitali, Milena Lambri, Claudio Soregaroli   +6 more
wiley   +1 more source

Psychophysiological indexes in the detection of deception: A systematic review

Acta Psychologica
Robust evidence on deception detection highlights that humans perform at chance level, especially when a truth-default cognitive threshold is crossed by the deceiver.
Gianmarco Convertino, Jessica Talbot, Giuliana Mazzoni   +2 more
doaj   +1 more source

Experimental validation of the RESPONSE framework against cyberattacks on cyber‐physical process systems

AIChE Journal, EarlyView.
Abstract This work experimentally validates the RESPONSE (Resilient Process cONtrol SystEm) framework as a solution for maintaining safe, continuous operation of cyber‐physical process systems under cyberattacks. RESPONSE implements a dual‐loop architecture that runs a networked online controller in parallel with a hard‐isolated offline controller ...
Luyang Liu, Pu Du, Zaman Sajid, Benjamin Wilhite, Costas Kravaris, Faisal Khan   +5 more
wiley   +1 more source

Differences in Language Used by Deceivers and Truth-Tellers in Thai Online Chat

Journal of the Southeast Asian Linguistics Society, 2017
Deception detection, especially in online communication, is a burgeoning area of research, but most previous studies have focused on English. Therefore, in this paper, we investigate the applicability of English deceptive features to Thai and also ...
Montarat Rungruangthum, Richard Watson
doaj  

NEW APPROACHES IN DECEPTION DETECTION II. ACTIVE INTERVIEWING STRATEGIES AND CONTEXTUAL INFORMATION [PDF]

Papeles del Psicólogo, 2015
Meta-analytical evidence shows that behavioural indicators of deception are scant, poorly diagnostic and inconsistent. This has yielded a shift in deception detection research.
Jaume Masip, Carmen Herrero
doaj  

Deception Choice and Audit Design - The Importance of Being Earnest [PDF]

, 2014
We study deception choices and deception detection in a tax compliance experiment. We find large systematic differences in individual deception abilities. Tax payers are conscious about their own deception abilities.
Konrad, Kai A., Lohse, Tim, Qari, Salmai
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Fake Online Reviews: A Unified Detection Model Using Deception Theories [PDF]

, 2022
Mujahed Abdulqader, Abdallah Namoun, Yazed Alsaawy   +2 more
openalex   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source