This research examines how news media portrayal of Covid-19 cases on cruise ships can produce decision biases. Two experiments were conducted in which news stories were varied according to format, base rate, framing and number size. The results demonstrate that prior cruise experience increases travel intentions and cruise image and lowers perceptions of cruise risk. Perceived risk is higher when the number of cases is presented in concrete numbers versus abstract percentages. Negative framing increases perceptions of cruise risk versus positive framing, especially when expressed in small numbers. The results extend beyond Covid-19 by demonstrating that sensationalism in the news media can result in decision biases that over- emphasize negative outcomes and increases risk perceptions in the minds of consumers. The findings suggest travel companies should work together with news media outlets when crisis situations arise to shift away from sensationalism and provide concrete information that is useful for consumers.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260374 | PMC |
http://dx.doi.org/10.1016/j.tmp.2023.101126 | DOI Listing |
PLOS Glob Public Health
December 2024
Blood Safety, Hepatitis, STI & HIV Division, UK Health Security Agency, London, United Kingdom.
Mar Pollut Bull
December 2024
CSIR - National Institute of Oceanography, Regional Centre, Kochi 682 018, India.
This study investigated the distribution, sources, and ecological risk of polycyclic aromatic hydrocarbons (PAHs) in the surface sediments of the Western Bay of Bengal (WBoB). Coastal, shelf and slope sediments from the WBoB, collected from different research cruises, were analysed for 16 priority PAH pollutants. Total PAHs (TPAHs) were in the range of 1.
View Article and Find Full Text PDFJ Bus Contin Emer Plan
January 2025
J Hazard Mater
November 2024
Ministry of Natural Resources Key Laboratory for Polar Sciences, Polar Research Institute of China, 451 Jinqiao Road, Shanghai 200136, China.
Sci Rep
November 2024
Department of Anaesthesiology Und Intensive Care Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Numerous accidents occur with General Aviation aircraft every year. To date, pre-emptive prediction of survival or death is impossible. The current study aims to identify significant factors elementary to predict survival after General Aviation (GA) aircraft accidents.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!