Dr. Michele C. Weigle

Dr. Michele C. Weigle

Professor of Computer Science

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2023

  1. 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.    
  2. 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.  
  3. 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.    
  4. 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.    
  5. 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.  
  6. 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.  
  7. John Berlin, Mat Kelly, Michael L. Nelson, and Michele C. Weigle, “To Re-experience the Web: A Framework for the Transformation and Replay of Archived Web Pages,” ACM Transactions on the Web, Vol. 17, No. 3, July 2023, pp. 1-49.  
  8. Mohamed Aturban, Martin Klein, Herbert Van de Sompel, Sawood Alam, Michael L. Nelson, and Michele C. Weigle, “Hashes are not suitable to verify fixity of the public archived web,” PLOS ONE, Vol. 18, No. 6, June 2023, pp. 1-49.  
  9. Michele C. Weigle, Michael L. Nelson, Sawood Alam, and Mark Graham, “Right HTML, Wrong JSON: Challenges in Replaying Archived Webpages Built with Client-Side Rendering,” In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL). June 2023, pp. 82-92.    
  10. Lesley Frew, Michael L. Nelson, and Michele C. Weigle, “Making Changes in Webpages Discoverable: A Change-Text Search Interface for Web Archives,” In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL). June 2023, pp. 71-81. Best Student Paper Award.    
  11. 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, pp. 102-106, short paper.  
  12. Sawood Alam, Kritika Garg, Michele C. Weigle, Michael L. Nelson, Mark Graham, and Dietrich Ayala, “TrendMachine: A Temporal Webpage Resilience Portal,” In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL). June 2023, pp. 93-97, late-breaking results.  
  13. Lyudmila Balakireva, Emily Escamilla, Talya Cooper, Michael L. Nelson, and Michele C. Weigle, “The Memento Tracer Toolset for Human-Guided Focused Crawling of Dynamic Web,” In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL). June 2023, pp. 265-266, poster. Best Poster Award.  
  14. Michele C. Weigle, “The Use of Web Archives in Disinformation Research,” Technical report arXiv:2306.10004, arXiv, June 2023.    
  15. Tarannum Zaki, Michael L. Nelson, and Michele C. Weigle, “Extracting Information from Twitter Screenshots,” Technical report arXiv:2306.08236, arXiv, June 2023.    
  16. 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.    
  17. Haley Bragg and Michele C. Weigle, “Discovering the Traces of Disinformation on Instagram in the Internet Archive,” Technical report arXiv:2301.091888, January 2023.