ABSTRACT

Sentiment contagion across the media tweet network of the 2016 U.S. presidential election, including traditional and non-traditional journalistic outlets, was identified and analyzed using time-series analysis. Online non-partisan journalistic accounts reported the highest use of positive sentiment words, while political commentators reported the highest level of negative sentiment word use. Online partisan accounts, including @drudge_report, were identified as intermedia agenda setters that led negative sentiment contagion in multiple journalistic outlet categories. No evident individual agenda setter account was found in positive sentiment contagion. Implications for media influence researchers and journalistic actors were discussed.

摘要

使用时间序列分析识别和分析了 2016 年美国总统大选的媒体推特网络（包括传统和非传统新闻媒体）的情绪传染。在线无党派新闻账户报告的正面情绪词使用率最高，而政治评论员报告的负面情绪词使用率最高。包括@drudge_report 在内的在线党派账户被确定为媒体议程设置者，导致多个新闻媒体类别中的负面情绪蔓延。在积极情绪传染中没有发现明显的个人议程设置者帐户。讨论了对媒体影响研究人员和新闻工作者的影响。