This study examines the relationship between personal traits, news use via YouTube algorithmic searches, and engagement with misinformation about U.S. Muslim congresswomen. Based on analyses of survey data, we find that those with lower cognitive ability and frequent algorithmic use were more likely to believe and share misinformation. Republicans and those with higher levels of nationalism and prejudice against Muslims were also more likely to believe the misinformation. Moderation findings suggest that higher algorithmic use strengthens belief in misinformation about U.S. Muslim congresswomen. The results highlight the importance of both individual ideologies and systematic factors in understanding misinformation engagement.

这项研究检查了个人特征、通过 YouTube 算法搜索使用新闻以及参与有关美国穆斯林女议员的错误信息之间的关系。基于对调查数据的分析，我们发现那些认知能力较低和频繁使用算法的人更有可能相信和分享错误信息。共和党人和那些对穆斯林有较高民族主义和偏见的人也更有可能相信这些错误信息。适度的调查结果表明，更高的算法使用加强了人们对有关美国穆斯林女议员的错误信息的信念。结果强调了个人意识形态和系统因素在理解错误信息参与方面的重要性。