Wirz Christopher D, Howell Emily L, Brossard Dominique, Xenos Michael A, Scheufele Dietram A
University of Wisconsin-Madison,
University of Wisconsin-Madison.
Politics Life Sci. 2021 May;40(1):40-55. doi: 10.1017/pls.2020.15.
This study analyzes the relationship between state-level variables and Twitter discourse on genetically modified organisms (GMOs). Using geographically identified tweets related to GMOs, we examined how the sentiments expressed about GMOs related to education levels, news coverage, proportion of rural and urban counties, state-level political ideology, amount of GMO-related legislation introduced, and agricultural dependence of each U.S. state. State-level characteristics predominantly did not predict the sentiment of the discourse. Instead, the topics of tweets predicted the majority of variance in tweet sentiment at the state level. The topics that tweets within a state focused on were related to state-level characteristics in some cases.
本研究分析了州级变量与推特上关于转基因生物(GMOs)的话语之间的关系。利用地理定位的与转基因生物相关的推文,我们研究了对转基因生物表达的情绪如何与教育水平、新闻报道、城乡县比例、州级政治意识形态、引入的转基因生物相关立法数量以及美国每个州的农业依赖性相关。州级特征主要无法预测话语的情绪。相反,推文主题预测了州级推文情绪的大部分变化。在某些情况下,一个州内推文关注的主题与州级特征相关。