Fake news detection on social media: the predictive role of university students' critical thinking dispositions and new media literacy.

IF 12.1 Q1 EDUCATION & EDUCATIONAL RESEARCH Smart Learning Environments Pub Date : 2023-01-01 Epub Date: 2023-04-26 DOI:10.1186/s40561-023-00248-8
Ali Orhan
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Abstract

This study aimed to investigate the predictive role of critical thinking dispositions and new media literacies on the ability to detect fake news on social media. The sample group of the study consisted of 157 university students. Sosu Critical Thinking Dispositions Scale, New Media Literacy Scale, and fake news detection task were employed to gather the data. It was found that university students possess high critical thinking dispositions and new media literacies as well as high fake news detection abilities and there is a positive and moderate relationship among these variables. Also, this study revealed that critical thinking dispositions and new media literacies significantly predicted university students' abilities to detect fake news on social media and they together explained 18% of the total variance on fake news detection. Besides, university students' critical thinking dispositions presented a larger effect on their abilities to detect fake news than new media literacies.

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社交媒体假新闻检测:大学生批判性思维倾向与新媒体素养的预测作用
本研究旨在探讨批判性思维倾向和新媒体素养对社交媒体上假新闻检测能力的预测作用。本研究的样本组由157名大学生组成。采用Sosu批判性思维倾向量表、新媒体素养量表和假新闻检测任务收集数据。研究发现,大学生具有较高的批判性思维倾向和新媒体素养,以及较高的假新闻检测能力,这些变量之间存在正相关关系。此外,该研究还表明,批判性思维倾向和新媒体素养显著预测了大学生在社交媒体上检测假新闻的能力,它们共同解释了假新闻检测总方差的18%。此外,大学生的批判性思维倾向比新媒体素养对他们识别假新闻能力的影响更大。
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来源期刊
Smart Learning Environments
Smart Learning Environments Social Sciences-Education
CiteScore
13.20
自引率
2.10%
发文量
29
审稿时长
19 weeks
期刊最新文献
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