Researchers have found that most people have difficulty detecting deception; however, certain individuals are able to consistently detect deception above the level of chance. This study examined whether psychopathic traits are related to deception detection. Undergraduate participants (n = 117) indicated whether individuals in video clips were lying or telling the truth and completed a measure of psychopathy. Overall, participants' performance was significantly greater than chance. Scores on the psychopathy measure were unrelated to participants' performance and their confidence on the lie detection task. Possible explanations for the findings are briefly discussed.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/pmh.1215 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Making Deception Fun: Teaching Autistic Individuals How to Play Friendly Tricks.
Behav Anal Pract
December 2024
Center for Autism and Related Disorders, Inc, Woodland Hills, Los Angeles, CA USA.
Perspective taking is a critical repertoire for navigating social relationships and consists of a variety of complex verbal skills, including socially adaptive forms of deception. Detecting and being able to use socially adaptive deception likely has many practical uses, including defending oneself against bullying, telling white lies to avoid hurting others' feelings, keeping secrets and bluffing during games, and playing friendly tricks on others. Previous research has documented that some Autistic children have challenges identifying deception and playfully deceiving others (Reinecke et al.
View Article and Find Full Text PDFUnraveling the Use of Disinformation Hashtags by Social Bots During the COVID-19 Pandemic: Social Networks Analysis.
JMIR Infodemiology
January 2025
Computational Social Science DataLab, University Institute of Research for Sustainable Social Development (INDESS), University of Cadiz, Jerez de la Frontera, Spain.
Background: During the COVID-19 pandemic, social media platforms have been a venue for the exchange of messages, including those related to fake news. There are also accounts programmed to disseminate and amplify specific messages, which can affect individual decision-making and present new challenges for public health.
Objective: This study aimed to analyze how social bots use hashtags compared to human users on topics related to misinformation during the outbreak of the COVID-19 pandemic.
Learning to Train and to Explain a Deep Survival Model with Large-Scale Ovarian Cancer Transcriptomic Data.
Biomedicines
December 2024
Unité de Génomique Fonctionnelle, Institut de Cancérologie de l'Ouest Nantes-Angers, 49055 Angers, France.
Ovarian cancer is a complex disease with poor outcomes that affects women worldwide. The lack of successful therapeutic options for this malignancy has led to the need to identify novel biomarkers for patient stratification. Here, we aim to develop the outcome predictors based on the gene expression data as they may serve to identify categories of patients who are more likely to respond to certain therapies.
View Article and Find Full Text PDF[MED15-TFE3 renal cell carcinoma: a clinicopathological and molecular analysis].
Zhonghua Bing Li Xue Za Zhi
January 2025
Department of Pathology, Jinling Hospital, Nanjing University School of Medicine, Nanjing210002, China.
To investigate the clinicopathological features, immunophenotype, molecular characteristics, and differential diagnosis of MED15-TFE3 gene fusion renal cell carcinoma (MED15-TFE3 RCC). A total of 12 MED15-TFE3 RCCs, diagnosed from 2016 to 2023, were collected from the Department of Pathology of Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, China for clinicopathologic, immunohistochemical, fluorescence in situ hybridization (FISH) and RNA sequencing (RNA-seq) analyses and follow-up. In addition, its diagnosis and differential diagnosis were also explored.
View Article and Find Full Text PDFDeception detection in educational AI: challenges for Japanese middle school students in interacting with generative AI robots.
Front Artif Intell
December 2024
School of Systems Information Science, Future University Hakodate, Hakodate, Hokkaido, Japan.
Educational materials that utilize generative AI (e.g., ChatGPT) have been developed, thus, allowing students to learn through conversations with robots or agents.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!