论文标题
媒体对公众舆论对中国的影响的大规模定量证据
Large-scale Quantitative Evidence of Media Impact on Public Opinion toward China
论文作者
论文摘要
大众媒体会影响人们对其他国家的看法吗？使用BERT是一种基于深度神经网络的自然语言处理模型，我们分析了《纽约时报》以来由《纽约时报》发表的267,907篇中国相关文章的大型语料库。然后，我们将《纽约时报》与美国公众对中国公众观点的101个横断面调查构建的纵向数据集进行了比较。我们发现，《纽约时报》在一年内对中国的报道解释了美国公众对中国舆论的54％的差异。我们的结果证实了媒体与舆论之间的假设联系，并有助于阐明大众媒体如何影响国外的舆论。
Do mass media influence people's opinion of other countries? Using BERT, a deep neural network-based natural language processing model, we analyze a large corpus of 267,907 China-related articles published by The New York Times since 1970. We then compare our output from The New York Times to a longitudinal data set constructed from 101 cross-sectional surveys of the American public's views on China. We find that the reporting of The New York Times on China in one year explains 54% of the variance in American public opinion on China in the next. Our result confirms hypothesized links between media and public opinion and helps shed light on how mass media can influence public opinion of foreign countries.
