- 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.
- 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.
- Haley Bragg, Himarsha Jayanetti, Michael L. Nelson, and Michele C. Weigle, “Less than 4% of Archived Instagram Account Pages for the Disinformation Dozen are Replayable,” In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL). June 2023, short paper.
- Muntabir Hasan Choudhury, Lamia Salsabil, Himarsha Jayanetti, Jian Wu, William A. Ingram, and Edward A. Fox, “MetaEnhance: Metadata Quality Improvement for Electronic Theses and Dissertations of University Libraries,” In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL). June 2023, short paper. Best Short Paper Award.
- Himarsha R. Jayanetti, “Supporting Account-Based Queries for Archived Instagram Posts,” Master’s thesis, Old Dominion University, May 2023.
- Himarsha R. Jayanetti, Erika Frydenlund, and Michele C. Weigle, “Exploring Xenophobic Events through GDELT Data Analysis,” Technical report arXiv:2305.01708, Paper presented at the 16th Annual Modeling, Simulation, and Visualization Student Capstone Conference, May 2023. Best Overall Paper, Best Paper in Data Science track Award.
