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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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Projects
- 4 Finished
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Travel: NSF Student Travel Support for 2024 ACM International Conference on Information and Management (CIKM)
Spezzano, F. (PI) & Edoardoserra@boisestateedu, E. S. (CoPI)
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 → 31/05/26
Project: Research
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REU Site: Data-driven Security
Spezzano, F. (PI) & Edoardoserra@boisestateedu, E. S. (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 2026 - Proceedings of the 19th ACM International Conference on Web Search and Data Mining. New York, NY, p. 1058-1062 5 p. (WSDM 2026 - Proceedings of the 19th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Credibility Drift Attacks: LLM Crafted Adversarial Manipulations That Flip News Believability
Sakib, M. N. & Spezzano, F., Feb 2026, WSDM 2026 - Proceedings of the 19th ACM International Conference on Web Search and Data Mining. p. 1221-1226 6 p. (WSDM 2026 - Proceedings of the 19th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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., 1 Jun 2026, In: IEEE Transactions on Computational Social Systems. 13, 3, p. 3894-3911 18 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Improving few-shot stance detection with MINE: meta-prompting and in-context N-shot examples
Ekhator, U. & Spezzano, F., Dec 2026, In: International Journal of Data Science and Analytics. 22, 1, 277.Research output: Contribution to journal › Article › peer-review
Open Access -
Preface to the WSDM 2026 Workshops Companion Volume
D'Angelo, A., D'Asaro, F. A., Gullo, F., Kato, M. P., Mandaglio, D., Serra, E., Spezzano, F. & Stilo, G., 5 May 2026, Proceedings of the 19th ACM International Conference on Web Search and Data Mining, WSDM 2026 Companion. p. 1-3 3 p. (Proceedings of the 19th ACM International Conference on Web Search and Data Mining, WSDM 2026 Companion).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access