Hye-Chung Kum, Steven Bedrick, and Michele C. Weigle, “Challenges in Data Science in the Use of Large-Scale Population Datasets for Scientific Inquiry,” In Digital Ethology: Human Behavior in Geospatial Context. (Tomáš Paus and Hye-Chung Kum, Eds.), The MIT Press, 2024.
Michele C. Weigle, José Balsa-Barreiro, Nitesh V. Chawla, Tamas Dávid-Barrett, Maria Melchior, Virginia Pallante, Abeed Sarker, and Jason Gilliland, “Characterizing Social Environments in the Physical and Virtual Worlds Using Digital Data,” In Digital Ethology: Human Behavior in Geospatial Context. (Tomáš Paus and Hye-Chung Kum, Eds.), The MIT Press, 2024.
Himarsha Jayanetti, Kritika Garg, Sawood Alam, Michael L. Nelson, and Michele C. Weigle, “Robots Still Outnumber Humans in Web Archives in 2019, But Less Than in 2015 and 2012,” International Journal on Digital Libraries (IJDL), March 2024.
Rachel Zheng and Michele C. Weigle, “Examining the Challenges in Archiving Instagram,” Technical report arXiv:2401.02029, arXiv, January 2024.
Emily Escamilla, Martin Klein, Talya Cooper, Vicky Rampin, Michele C. Weigle, and Michael L. Nelson, “Cited But Not Archived: Analyzing the Status of Code References in Scholarly Articles,” In Proceedings of the International Conference on Asia-Pacific Digital Libraries (ICADL). December 2023.
Shawn M. Jones, Martin Klein, Michele C. Weigle, and Michael L. Nelson, “Summarizing Web Archive Corpora Via Social Media Storytelling By Automatically Selecting and Visualizing Exemplars,” ACM Transactions on the Web, Vol. 18, No. 1, October 2023, pp. 1-48.
Himarsha R. Jayanetti, Erika Frydenlund, and Michele C. Weigle, “Xenophobic Events vs. Refugee Population – Using GDELT to Identify Countries with Disproportionate Coverage,” Poster presented at the 16th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRIMS), September 2023.
Emily Escamilla, Lamia Salsabil, Martin Klein, Jian Wu, Michele C. Weigle, and Michael L. Nelson, “It’s Not Just GitHub: Identifying Data and Software Sources Included in Publications,” In Proceedings of the Theory and Practice of Digital Libraries Conference (TPDL). September 2023, pp. 195-206.
Shawn M. Jones, Himarsha R. Jayanetti, Martin Klein, Michele C. Weigle, and Michael L. Nelson, “Synthesizing Web Archive Collections into Big Data: Lessons from Mining Data from Web Archives,” In Proceedings of the Theory and Practice of Digital Libraries Conference (TPDL). September 2023, pp. 220-229.
Kritika Garg, Himarsha R. Jayanetti, Sawood Alam, Michele C. Weigle, and Michael L. Nelson, “Challenges in replaying archived Twitter pages,” International Journal on Digital Libraries (IJDL), August 2023.