Personal profile
About
Dr. Francesca Spezzano joined Boise State University in 2015 and is an Assistant Professor in the Department of Computer Science. She earned her Ph.D. in Systems and Computer Engineering, a M.Sc. in Computer Engineering, and a B.Sc. in Computer Engineering all at the University of Calabria. Dr. Spezzano’s professional experience includes a previous appointment as a Research Associate for the University of Maryland. Her research interests which fall in the database field focus on data exchange, logic programming, and the management of inconsistencies to name a few. More specifically some Dr. Spezzano’s research looks into reshaping terrorist networks, trolls and vandals within social media, and chase algorithm termination within databases.
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Collaborations and top research areas from the last five years
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Projects
- 4 Finished
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Travel: NSF Student Travel Support for 2024 ACM International Conference on Information and Management (CIKM)
Serra, E. (CoPI) & Spezzano, F. (PI)
1/05/24 → 30/04/25
Project: Research
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CAREER: Enhanced Analysis & Algorithms to Minimize the Spread of Misinformation in Social Networks
Spezzano, F. (PI)
1/06/20 → 31/05/25
Project: Research
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REU Site: Data-driven Security
Spezzano, F. (PI) & Serra, E. (CoPI)
1/02/20 → 31/01/25
Project: Research
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Capacity Building: Integrating Data Science into Cybersecurity Curriculum
Serra, E. (PI), Xu, D. D. (CoPI) & Spezzano, F. (CoPI)
1/09/18 → 31/08/22
Project: Research
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A New Attack Surface: XAI-guided Adversarial Comment Generation with LLMs to Attack Fake News Detectors
Ahmed, M. S. & Spezzano, F., 21 Feb 2026, WSDM '26: Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining. New York, NY, p. 1058-1062 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Generating Realistic Adversarial User Comment Attacks to Evaluate the Robustness of Fake News Detectors
Underwood, C., Islam, M. A., Serra, E. & Spezzano, F., 2026, (Accepted/In press) In: IEEE Transactions on Computational Social Systems.Research output: Contribution to journal › Article › peer-review
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Circumventing Misinformation Controls: Assessing the Robustness of Intervention Strategies in Recommender Systems
Pathak, R. & Spezzano, F., 13 Jun 2025, UMAP 2025: Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. p. 279-284 6 p. (UMAP 2025 - Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Evaluating the robustness of fake news detectors to adversarial attacks with real user comments
Koren, A., Underwood, C., Serra, E. & Spezzano, F., 20 May 2025, In: International Journal of Data Science and Analytics. 20, 6, p. 5689-5702 14 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Integrating Service-Learning Into Social Media Mining Class
Spezzano, F. & Bose, D., 27 Jun 2025, ITiCSE 2025 - Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education. p. 249-255 7 p. (Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access