| 2026 | WSDM | A New Attack Surface: XAI-guided Adversarial Comment Generation with LLMs to Attack Fake News Detectors. | Md Shoaib Ahmed, Francesca Spezzano |
| 2026 | WSDM | Preface to the WSDM 2026 Workshops Companion Volume. | Andrea D'Angelo, Fabio Aurelio D'Asaro, Francesco Gullo, Makoto P. Kato, Domenico Mandaglio, Edoardo Serra, Francesca Spezzano, Giovanni Stilo |
| 2026 | WSDM | Credibility Drift Attacks: LLM Crafted Adversarial Manipulations That Flip News Believability. | Mostofa Najmus Sakib, Francesca Spezzano |
| 2025 | ICWSM | Opposites Attract? Ambivalence in Distinguishing Real and Fake News and Predicting their Spread. | Mostofa Najmus Sakib, Francesca Spezzano, Anne Hamby |
| 2025 | ITiCSE | Integrating Service-Learning Into Social Media Mining Class. | Francesca Spezzano, Devshikha Bose |
| 2024 | DSAA | Evaluating the Robustness of Fake News Detectors to Adversarial Attacks with Real User Comments (Extended Abstract). | Annat Koren, Chandler Underwood, Edoardo Serra, Francesca Spezzano |
| 2024 | ECIR | An Empirical Analysis of Intervention Strategies' Effectiveness for Countering Misinformation Amplification by Recommendation Algorithms. | Royal Pathak, Francesca Spezzano |
| 2023 | DSAA | Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph. | Bishal Lakha, Jason Duran, Edoardo Serra, Francesca Spezzano |
| 2023 | SERA | Evaluating Code Metrics in GitHub Repositories Related to Fake News and Misinformation. | Jason Duran, Mostofa Najmus Sakib, Nasir U. Eisty, Francesca Spezzano |
| 2022 | AAAI | Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract). | Joseph Kitzhaber, Ashlyn Trapp, James Beck, Edoardo Serra, Francesca Spezzano, Eric Hayden, Jessica Roberts |
| 2022 | AAAI | Predicting the Influence of Fake and Real News Spreaders (Student Abstract). | Amy Zhang, Aaron Brookhouse, Daniel Hammer, Francesca Spezzano, Liljana Babinkostova |
| 2021 | ECIR | Textual Characteristics of News Title and Body to Detect Fake News: A Reproducibility Study. | Anu Shrestha, Francesca Spezzano |
| 2021 | ITiCSE | Using Service-Learning in Graduate Curriculum to Address Teenagers' Vulnerability to Web Misinformation. | Francesca Spezzano |
| 2021 | RecSys | An Empirical Analysis of Collaborative Recommender Systems Robustness to Shilling Attacks. | Anu Shrestha, Francesca Spezzano, Maria Soledad Pera |
| 2021 | WWW | An Analysis of People's Reasoning for Sharing Real and Fake News. | Anu Shrestha, Francesca Spezzano |
| 2020 | WWW | Detecting Undisclosed Paid Editing in Wikipedia. | Nikesh Joshi, Francesca Spezzano, Mayson Green, Elijah Hill |
| 2019 | SSDBM | SQUID: A Scalable System for Querying, Updating and Indexing Dynamic Graph Databases. | Akshay Kansal, Francesca Spezzano |
| 2018 | WWW | Readers' Demanded Hyperlink Prediction in Wikipedia. | Laxmi Amulya Gundala, Francesca Spezzano |
| 2017 | CIKM | A Scalable Graph-Coarsening Based Index for Dynamic Graph Databases. | Akshay Kansal, Francesca Spezzano |
| 2017 | ICWSM | Spam Users Identification in Wikipedia Via Editing Behavior. | Thomas Green, Francesca Spezzano |
| 2016 | CIKM | Bad Actors in Social Media. | Francesca Spezzano |
| 2016 | CIKM | DePP: A System for Detecting Pages to Protect in Wikipedia. | Kelsey Suyehira, Francesca Spezzano |
| 2016 | ICDM | Edge Weight Prediction in Weighted Signed Networks. | Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian, Christos Faloutsos |
| 2015 | ISI | SPINN: Suspicion prediction in nuclear networks. | Ian A. Andrews, Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian |
| 2015 | KDD | VEWS: A Wikipedia Vandal Early Warning System. | Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian |
| 2012 | ICLP | On the Termination of Logic Programs with Function Symbols. | Sergio Greco, Francesca Spezzano, Irina Trubitsyna |