辨别力
主流
误传
读写能力
新闻媒体
社会化媒体
干预(咨询)
样品(材料)
政治
数字媒体
心理学
政治学
社会学
媒体研究
法学
化学
哲学
精神科
认识论
色谱法
作者
Andrew M. Guess,Michael Lerner,Benjamin Lyons,Jacob Montgomery,Brendan Nyhan,Jason Reifler,Neelanjan Sircar
标识
DOI:10.1073/pnas.1920498117
摘要
Widespread belief in misinformation circulating online is a critical challenge for modern societies. While research to date has focused on psychological and political antecedents to this phenomenon, few studies have explored the role of digital media literacy shortfalls. Using data from preregistered survey experiments conducted around recent elections in the United States and India, we assess the effectiveness of an intervention modeled closely on the world’s largest media literacy campaign, which provided “tips” on how to spot false news to people in 14 countries. Our results indicate that exposure to this intervention reduced the perceived accuracy of both mainstream and false news headlines, but effects on the latter were significantly larger. As a result, the intervention improved discernment between mainstream and false news headlines among both a nationally representative sample in the United States (by 26.5%) and a highly educated online sample in India (by 17.5%). This increase in discernment remained measurable several weeks later in the United States (but not in India). However, we find no effects among a representative sample of respondents in a largely rural area of northern India, where rates of social media use are far lower.
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