论文标题
Covid-19-19的推文情绪的转变趋势在2020年美国选举年度的投票偏好方面
Shifting Trends of COVID-19 Tweet Sentiment with Respect to Voting Preferences in the 2020 Election Year of the United States
论文作者
论文摘要
在2020年美国选举年中，相关政策相关政策被广泛政治化，从而产生了两极分化的观点。在2020年选举年中，Twitter用户特别参与。在这里，我们调查了Covid-19相关推文是否与选举日期的州一级的总选举结果有关。我们观察到相关推文的平均情绪与两周间隔的流行票之间的相关性较弱，趋势逐渐相反。然后，我们比较了共和党（红色国家）或民主党（蓝色国家）的国家之间相关的国家相关推文的平均情感。我们发现，在蓝色州的锁定情绪开始时，比红色州的情绪更为积极。但是，红色国家的情感在2020年夏季逐渐变得更加积极，并一直持续到选举日。
COVID-19 related policies were extensively politicized during the 2020 election year of the United States, resulting in polarizing viewpoints. Twitter users were particularly engaged during the 2020 election year. Here we investigated whether COVID-19 related tweets were associated with the overall election results at the state level during the period leading up to the election day. We observed weak correlations between the average sentiment of COVID-19 related tweets and popular votes in two-week intervals, and the trends gradually become opposite. We then compared the average sentiments of COVID-19 related tweets between states called in favor of Republican (red states) or Democratic parties (blue states). We found that at the beginning of lockdowns sentiments in the blue states were much more positive than those in the red states. However, sentiments in the red states gradually become more positive during the summer of 2020 and persisted until the election day.
