Title: 2020 US presidential election in swing states: Gender differences in Twitter conversations
Abstract:
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.

Karami, A., Clark, S. B., Mackenzie, A., Lee, D., Zhu, M., Boyajieff, H. R., & Goldschmidt, B. (2022). 2020 US presidential election in swing states: Gender differences in Twitter conversations. International Journal of Information Management Data Insights, 2(2), 100097.

Title: Data science curriculum in the iField

Abstract:
Many disciplines, including the broad Field of Information (iField), offer Data Science (DS) programs. There have been significant efforts exploring an individual discipline's identity and unique contributions to the broader DS education landscape. To advance DS education in the iField, the iSchool Data Science Curriculum Committee (iDSCC) was formed and charged with building and recommending a DS education framework for iSchools. This paper reports on the research process and findings of a series of studies to address important questions: What is the iField identity in the multidisciplinary DS education landscape? What is the status of DS education in iField schools? What knowledge and skills should be included in the core curriculum for iField DS education? What are the jobs available for DS graduates from the iField? What are the differences between graduate-level and undergraduate-level DS education? Answers to these questions will not only distinguish an iField approach to DS education but also define critical components of DS curriculum. The results will inform individual DS programs in the iField to develop curriculum to support undergraduate and graduate DS education in their local context.

Zhang, Y., Wu, D., Hagen, L., Song, I.-Y., Mostafa, J., Oh, S., Anderson, T., Shah, C., Bishop, B. W., Hopfgartner, F., Eckert, K., Federer, L., & Saltz, J. S. (2022). “Data science curriculum in the iField,” Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.24701