  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.
