Projects per year
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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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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. (CoPI) & Spezzano, F. (CoPI)
1/09/18 → 31/08/22
Project: Research
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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 Access -
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
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Understanding News Consumers' Perceptions of Believability: A Study of Real and Fake News
Sakib, M. N., Ahmed, M. S., Spezzano, F. & Hamby, A., Nov 2025, In: Proceedings of the ACM on Human-Computer Interaction. 9, 7, CSCW510.Research output: Contribution to journal › Article › peer-review
Open Access -
Analyzing the Interplay between Diversity of News Recommendations and Misinformation Spread in Social Media
Pathak, R. & Spezzano, F., 27 Jun 2024, UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. p. 80-85 6 p. (UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations -
An Empirical Analysis of Intervention Strategies’ Effectiveness for Countering Misinformation Amplification by Recommendation Algorithms
Pathak, R. & Spezzano, F., 1 Jan 2024, ECIR 2024: Advances in Information Retrieval.Research output: Chapter in Book/Report/Conference proceeding › Chapter