Social media is commonly used by the public during election campaigns to express their opinions regarding different issues. Among various social media channels, Twitter provides an efficient platform for researchers and politicians to explore public opinion regarding a wide range of topics such as the economy and foreign policy. Current literature mainly focuses on analyzing the content of tweets without considering the gender of users. This research collects and analyzes a large number of tweets and uses computational, human coding, and statistical analyses to identify topics in more than 300,000 tweets posted during the 2020 U.S. presidential election and to compare female and male users regarding the average weight of the discussed topics. Our findings are based upon a wide range of topics, such as tax, climate change, and the COVID-19 pandemic. Out of the topics, there exists a significant difference between female and male users for more than 70% of topics.
翻译:在各种社交媒体渠道中,Twitter为研究人员和政界人士提供了一个有效平台,就经济和外交政策等广泛议题探索公共舆论。当前文献主要侧重于分析推特内容,而没有考虑用户的性别。这一研究收集和分析了大量的推文,并使用计算、人类编码和统计分析等方法,在2020年美国总统大选期间张贴的300 000多份推文中确定话题,比较男女用户讨论议题的平均权重。我们的调查结果基于广泛的议题,如税收、气候变化和COVID-19流行病。在其中70%以上的专题中,男女用户之间有很大差异。