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检测和分享假新闻的能力。

Ability of detecting and willingness to share fake news.

机构信息

Zayed University, Abu Dhabi, United Arab Emirates.

Centre for Applied Macroeconomic Analysis, Canberra, Australia.

出版信息

Sci Rep. 2023 May 5;13(1):7298. doi: 10.1038/s41598-023-34402-6.

Abstract

By conducting large-scale surveys in Germany and the United Kingdom, we investigate the individual-level determinants of the ability to detect fake news and the inclination to share it. We distinguish between deliberate and accidental sharing of fake news. We document that accidental sharing is much more common than deliberate sharing. Furthermore, our results indicate that older, male, high-income, and politically left-leaning respondents better detect fake news. We also find that accidental sharing decreases with age and is more prevalent among right-leaning respondents. Deliberate sharing of fake news is more prevalent among younger respondents in the United Kingdom. Finally, our results imply that respondents have a good assessment of their ability to detect fake news: those we identified as accidental sharers were also more likely to have admitted to having shared fake news.

摘要

通过在德国和英国进行大规模调查,我们研究了个人层面上识别假新闻的能力和分享假新闻的倾向的决定因素。我们区分了故意和无意分享假新闻。我们记录到,无意分享比故意分享更为常见。此外,我们的研究结果表明,年龄较大、男性、高收入和政治上倾向左派的受访者能够更好地识别假新闻。我们还发现,年龄的增长会减少无意分享的行为,并且这种行为在政治上倾向右派的受访者中更为普遍。在英国,年轻的受访者更倾向于故意分享假新闻。最后,我们的研究结果表明,受访者对自己识别假新闻的能力有较好的评估:我们发现那些被认定为无意分享者也更有可能承认自己分享过假新闻。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e447/10163038/bfa836ba5878/41598_2023_34402_Fig1_HTML.jpg

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