This review discusses recent findings on susceptibility to falling for fake news in political contexts. In relation to political attitudes and analytical thinking, we find that individuals tend to overrate the accuracy of true and fake political news that are consistent with their own political attitudes. This tendency, however, does not seem to be explained by motivated reasoning. This is supported by findings showing that analytical thinking and deliberation are negatively related to susceptibility to falling for fake news, regardless of whether they are consistent or inconsistent with one's political attitudes. We suggest that future works should aim at i) examining how, for example, news consumption habits relate to susceptibility to falling for fake news and ii) implementing other, more externally valid fake news tests.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.copsyc.2020.03.014 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Intra- and Interspecies Conjugal Transfer of Plasmids in Gram-Negative Bacteria.
Biomedicines
January 2025
Department of Pharmacokinetics & Pharmacodynamics, Gause Institute of New Antibiotics, 11 Bolshaya Pirogovskaya Street, 119021 Moscow, Russia.
Plasmid-mediated resistance is a significant mechanism that contributes to the gradual decrease in the efficacy of antibiotics from various classes, including carbapenems. The aim of this study is to investigate the frequency of transfer of carbapenemase-encoding plasmids from to and . Matings were performed on agar with subsequent isolation of transconjugant, recipient, and donor colonies.
View Article and Find Full Text PDFFirst report of MDR virulent Pseudomonas aeruginosa in apparently healthy Japanese quail (Coturnix japonica) in Bangladesh.
PLoS One
January 2025
Department of Microbiology and Hygiene, Mymensingh, Bangladesh.
Article Synopsis
- Pseudomonas aeruginosa is a significant pathogen in Japanese quail, leading to conditions like septicaemia and respiratory disorders, resulting in substantial economic losses.
- A study conducted on 110 healthy quails in Bangladesh found that 22.73% tested positive for P. aeruginosa, with higher infection rates in younger birds, females, and those from specific districts.
- All isolated strains were multidrug-resistant and harbored specific virulence genes, indicating a need for a proactive One Health approach to manage the risks associated with this pathogen.
A Comprehensive Analysis of Surgical Outcomes for Spinal Fractures in Patients With Ankylosing Spondylitis: A 13-Year Prospective Study.
Cureus
December 2024
Orthopaedic and Spine Surgery, National Institute of Traumatology and Orthopaedic Rehabilitation (NITOR), Dhaka, BGD.
Introduction: Ankylosing spondylitis (AS), a chronic inflammatory spondyloarthropathy affecting the spine, progressively leads to increased spinal stiffness. This condition increases the risk of spine fractures in patients, even from trivial injuries. The process of slow bone formation within the ligaments of the spine and the fusion of the spinal diarthrosis contribute to the most prominent symptom of progressive stiffness of joints, predominantly affecting the spine and sacroiliac joints.
View Article and Find Full Text PDFModerate anxiety may improve functional balance in older women with low muscle strength: a preliminary observation.
J Sports Med Phys Fitness
January 2025
Department of Movement, Human and Health Sciences, Foro Italico University of Rome, Rome, Italy.
Background: Anxiety commonly affects older individuals with negative consequences on various physical and motor performances such as balance. When coupled with age-related muscular strength loss, the effects on the ability to perform daily tasks could be particularly detrimental, particularly in older women who are more susceptible to anxiety, muscular strength losses and falls. The study aimed to verify the effects of anxiety on balance performance in relation to muscular strength level in healthy older women.
View Article and Find Full Text PDFApplication of machine learning for detecting high fall risk in middle aged workers using video-based analysis of the first three steps.
J Occup Health
January 2025
Panasonic Corporation, Department Electric Works Company/Engineering Division, Osaka, Japan.
Background: Falls are among the most prevalent workplace accidents, necessitating thorough screening for susceptibility to falls and customization of individualized fall prevention programs. The aim of this study was to develop and validate a high fall risk prediction model using machine learning (ML) and video-based first three steps in middle-aged workers.
Methods: Train data (n=190, age 54.
Want 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!