Himarsha R. Jayanetti

Himarsha R. Jayanetti

Computer Science PhD Student, WS-DL

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About Me

Hello, I am Himarsha R. Jayanetti, a Ph.D. Candidate in Computer Science at Old Dominion University, where I conduct research under the supervision of Dr. Michele C. Weigle and Dr. Michael L. Nelson as a member of the Web Science and Digital Libraries (WSDL) Research Group.

My research interests include web archiving, digital libraries, social media analysis, web science, data science, information retrieval, machine learning, and computational social science. My current dissertation research investigates how social media content extends beyond its native platforms and is integrated into television news broadcasts, providing new perspectives on measuring information reach and influence.

I have authored multiple conference and journal publications and have been recognized with several awards, including the Best Student Paper Award (TPDL 2022), Best Short Paper Award (JCDL 2023), Best Overall Paper and Best Paper in Data Science Track (MSVSCC 2023), and the ODU Computer Science Graduate Society Hackathon Championship (2025). My work has also been supported through competitive travel grants and research opportunities, including internships with Los Alamos National Laboratory (2022) and the Internet Archive as a Google Summer of Code Contributor (2025).

In addition to research, I am committed to teaching, mentoring, and academic service. I have served as a Teaching Assistant for CS 120: Introduction to Information Literacy and Research (Fall 2019; Spring & Fall 2020) and Instructor for CS 450/550 Database Concepts (Spring 2026) and have contributed to the research community through conference program committee service and peer review activities for venues such as JCDL, TPDL, and CIKM.



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portfolio

publications

2021

  1. Kritika Garg, Himarsha R. Jayanetti, Sawood Alam, Michele C. Weigle, and Michael L. Nelson, “Replaying Archived Twitter: When your bird is broken, will it bring you down?,” In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL). September 2021, pp. 160-169.    
  2. Muntabir Hasan Choudhury, Himarsha R. Jayanetti, Jian Wu, William A. Ingram, and Edward A. Fox, “Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations,” In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL). September 2021, short paper, pp. 230–233.  

2022

  1. Kritika Garg, Himarsha Jayanetti, Sawood Alam, Michele C. Weigle, and Michael L. Nelson, “Caching HTTP 404 Responses Eliminates Unnecessary Archival Replay Requests,” In Proceedings of the International Conference on Asia-Pacific Digital Libraries (ICADL). December 2022.  
  2. Himarsha Jayanetti, Shawn Jones, Martin Klein, Alex Osbourne, Paul Koerbin, Michael L. Nelson, and Michele C. Weigle, “Creating Structure in Web Archives With Collections: Different Concepts From Web Archivists,” In Proceedings of the Theory and Practice of Digital Libraries Conference (TPDL). September 2022, short paper.  
  3. Himarsha Jayanetti, Kritika Garg, Sawood Alam, Michael L. Nelson, and Michele C. Weigle, “Robots Still Outnumber Humans in Web Archives, But Less Than Before,” In Proceedings of the Theory and Practice of Digital Libraries Conference (TPDL). September 2022. Best Student Paper Award.    
  4. Kritika Garg, Himarsha Jayanetti, Sawood Alam, Michele C. Weigle, and Michael L. Nelson, “Optimizing Archival Replay by Eliminating Unnecessary Traffic to Web Archives,” Presented at the ACM/IEEE JCDL 2022 Workshop on Web Archiving and Digital Libraries (WADL), June 2022.  
  5. Himarsha Jayanetti, Kritika Garg, Sawood Alam, Michael L. Nelson, and Michele C. Weigle, “Comparison of Access Patterns of Robots and Humans in Web Archives,” Presented at the ACM/IEEE JCDL 2022 Workshop on Web Archiving and Digital Libraries (WADL), June 2022.  
  6. Shawn M. Jones, Himarsha R. Jayanetti, Alex Osborne, Paul Koerbin, Martin Klein, Michele C. Weigle, and Michael L. Nelson, “The DSA Toolkit Shines Light Into Dark and Stormy Archives,” code{4}lib Journal, No. 53, May 2022.  

2023

  1. 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.  
  2. 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.    
  3. 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.  
  4. 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.  
  5. 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.    
  6. Himarsha R. Jayanetti, “Supporting Account-Based Queries for Archived Instagram Posts,” Master’s thesis, Old Dominion University, May 2023.  
  7. 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.    

2024

  1. Himarsha R. Jayanetti, “Evaluating Social Media Reach via Mainstream Media Discourse,” In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM). October 2024, pp. 5455–5458.  
  2. Himarsha R. 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.  

Award Publications

  1. 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.    
  2. 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.    
  3. Himarsha Jayanetti, Kritika Garg, Sawood Alam, Michael L. Nelson, and Michele C. Weigle, “Robots Still Outnumber Humans in Web Archives, But Less Than Before,” In Proceedings of the Theory and Practice of Digital Libraries Conference (TPDL). September 2022. Best Student Paper Award.    

Conferences and Workshops (Peer-Reviewed)

  1. Himarsha R. Jayanetti, “Evaluating Social Media Reach via Mainstream Media Discourse,” In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM). October 2024, pp. 5455–5458.  
  2. 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.  
  3. 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.  
  4. 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.    
  5. Kritika Garg, Himarsha Jayanetti, Sawood Alam, Michele C. Weigle, and Michael L. Nelson, “Caching HTTP 404 Responses Eliminates Unnecessary Archival Replay Requests,” In Proceedings of the International Conference on Asia-Pacific Digital Libraries (ICADL). December 2022.  
  6. Himarsha Jayanetti, Kritika Garg, Sawood Alam, Michael L. Nelson, and Michele C. Weigle, “Robots Still Outnumber Humans in Web Archives, But Less Than Before,” In Proceedings of the Theory and Practice of Digital Libraries Conference (TPDL). September 2022. Best Student Paper Award.    
  7. Himarsha Jayanetti, Shawn Jones, Martin Klein, Alex Osbourne, Paul Koerbin, Michael L. Nelson, and Michele C. Weigle, “Creating Structure in Web Archives With Collections: Different Concepts From Web Archivists,” In Proceedings of the Theory and Practice of Digital Libraries Conference (TPDL). September 2022, short paper.  
  8. Kritika Garg, Himarsha R. Jayanetti, Sawood Alam, Michele C. Weigle, and Michael L. Nelson, “Replaying Archived Twitter: When your bird is broken, will it bring you down?,” In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL). September 2021, pp. 160–169.    
  9. Muntabir Hasan Choudhury, Himarsha R. Jayanetti, Jian Wu, William A. Ingram, and Edward A. Fox, “Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations,” In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL). September 2021, short paper, pp. 230–233.  

Journals and Magazines

  1. Himarsha R. 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.  
  2. 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.  
  3. Shawn M. Jones, Himarsha R. Jayanetti, Alex Osborne, Paul Koerbin, Martin Klein, Michele C. Weigle, and Michael L. Nelson, “The DSA Toolkit Shines Light Into Dark and Stormy Archives,” code{4}lib Journal, No. 53, May 2022.  

Other (Poster Presentations, Dissertation, Misc)

  1. 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.    
  2. Himarsha R. Jayanetti, “Supporting Account-Based Queries for Archived Instagram Posts,” Master’s thesis, Old Dominion University, May 2023.  
  3. 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.    
  4. Kritika Garg, Himarsha Jayanetti, Sawood Alam, Michele C. Weigle, and Michael L. Nelson, “Optimizing Archival Replay by Eliminating Unnecessary Traffic to Web Archives,” Presented at the ACM/IEEE JCDL 2022 Workshop on Web Archiving and Digital Libraries (WADL), June 2022.  
  5. Himarsha Jayanetti, Kritika Garg, Sawood Alam, Michael L. Nelson, and Michele C. Weigle, “Comparison of Access Patterns of Robots and Humans in Web Archives,” Presented at the ACM/IEEE JCDL 2022 Workshop on Web Archiving and Digital Libraries (WADL), June 2022.  

Recent Publications and Talks

  1. Himarsha R. Jayanetti, “Evaluating Social Media Reach via Mainstream Media Discourse,” In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM). October 2024, pp. 5455–5458.  
  2. Himarsha R. 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.  
  3. 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.  
  4. 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.    
  5. 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.  
  6. 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.  
  7. 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.    
  8. 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.    

talks

teaching