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2024 Journal Article Cognitive biases in fact-checking and their countermeasures: a reviewSoprano, Michael, Roitero, Kevin, La Barbera, David, Ceolin, Davide, Spina, Damiano, Demartini, Gianluca and Mizzaro, Stefano (2024). Cognitive biases in fact-checking and their countermeasures: a review. Information Processing and Management, 61 (3) 103672. doi: 10.1016/j.ipm.2024.103672 |
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2024 Conference Publication CoLAL: Co-learning active learning for text classificationLe, Linh, Zhao, Genghong, Zhang, Xia, Zuccon, Guido and Demartini, Gianluca (2024). CoLAL: Co-learning active learning for text classification. Thirty-Eighth AAAI Conference on Artificial Intelligence, Vancouver, BC Canada, 20–27 February 2024. Washington, DC United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i12.29235 |
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2024 Journal Article Who determines what is relevant? Humans or AI? Why not both? : A spectrum of human–AI collaboration in assessing relevanceFaggioli, Guglielmo, Dietz, Laura, Clarke, Charles, Demartini, Gianluca, Hagen, Matthias, Hauff, Claudia, Kando, Noriko, Kanoulas, Evangelos, Potthast, Martin, Stein, Benno and Wachsmuth, Henning (2024). Who determines what is relevant? Humans or AI? Why not both? : A spectrum of human–AI collaboration in assessing relevance. Communications of the ACM, 67 (4), 31-34. doi: 10.1145/3624730 |
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2023 Journal Article Data bias managementDemartini, Gianluca, Roitero, Kevin and Mizzaro, Stefano (2023). Data bias management. Communications of the ACM, 67 (1), 28-32. doi: 10.1145/3611641 |
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2023 Journal Article Human-AI cooperation to tackle misinformation and polarizationSpina, Damiano, Sanderson, Mark, Angus, Daniel, Demartini, Gianluca, Mckay, Dana, Saling, Lauren L. and White, Ryen W. (2023). Human-AI cooperation to tackle misinformation and polarization. Communications of the ACM, 66 (7), 40-45. doi: 10.1145/3588431 |
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2022 Conference Publication Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgmentsRoitero, Kevin, Checco, Alessandro, Mizzaro, Stefano and Demartini, Gianluca (2022). Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments. ACM Web Conference, Virtual/Lyon, France, 25-29 April 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3485447.3511960 |
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2020 Journal Article CrowdCO-OP: sharing risks and rewards in crowdsourcingFan, Shaoyang, Gadiraju, Ujwal, Checco, Alessandro and Demartini, Gianluca (2020). CrowdCO-OP: sharing risks and rewards in crowdsourcing. Proceedings of the ACM on Human-Computer Interaction, 4 (CSCW2) 132, 1-24. doi: 10.1145/3415203 |
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2020 Conference Publication Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's backgroundRoitero, Kevin, Soprano, Michael, Fan, Shaoyang, Spina, Damiano, Mizzaro, Stefano and Demartini, Gianluca (2020). Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, China, 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401112 |
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2020 Conference Publication On understanding data worker interaction behaviorsHan, Lei, Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). On understanding data worker interaction behaviors. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Virtual Event China, July 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401059 |
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2020 Journal Article Adversarial attacks on crowdsourcing quality controlChecco, Alessandro, Bates, Jo and Demartini, Gianluca (2020). Adversarial attacks on crowdsourcing quality control. Journal of Artificial Intelligence Research, 67, 375-408. doi: 10.1613/jair.1.11332 |
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2019 Conference Publication Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training dataYang, Jie, Demartini, Gianluca, Smirnova, Alisa, Lu, Yuan, Yang, Dingqi and Cudré-Mauroux, Philippe (2019). Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data. World Wide Web Conference (WWW), San Francisco, CA, United States, 13-17 May 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3308558.3313599 |
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2015 Conference Publication The dynamics of micro-task crowdsourcing: the case of amazon MTurkDifallah, Djellel Eddine, Catasta, Michele, Demartini, Gianluca, Ipeirotis, Panagiotis G. and Cudré-Mauroux, Philippe (2015). The dynamics of micro-task crowdsourcing: the case of amazon MTurk. 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, 18 - 22 May 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2736277.2741685 |
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2015 Conference Publication Understanding malicious behavior in crowdsourcing platforms: the case of online surveysGadiraju, Ujwal, Kawase, Ricardo, Dietze, Stefan and Demartini, Gianluca (2015). Understanding malicious behavior in crowdsourcing platforms: the case of online surveys. 33rd Annual CHI Conference on Human Factors in Computing Systems - CHI'15, Seoul, South Korea, 18 - 23 April 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2702123.2702443 |
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2026 Journal Article Ideology-Based LLMs for Content ModerationCivelli, Stefano, Bernardelle, Pietro, Pratama, Nardiena A. and Demartini, Gianluca (2026). Ideology-Based LLMs for Content Moderation. ACM Transactions on Intelligent Systems and Technology 3810946. doi: 10.1145/3810946 |
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2026 Journal Article Scalable Methods for Storing and Retrieving Wikipedia Revision Histories for Large-Scale AnalysisVerma, Amit, Setia, Simran and Demartini, Gianluca (2026). Scalable Methods for Storing and Retrieving Wikipedia Revision Histories for Large-Scale Analysis. ACM Transactions on the Web 3787449. doi: 10.1145/3787449 |
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2026 Book Chapter The Effect of Document Summarization on LLM-Based Relevance JudgmentsMohtadi, Samaneh, Roitero, Kevin, Mizzaro, Stefano and Demartini, Gianluca (2026). The Effect of Document Summarization on LLM-Based Relevance Judgments. Lecture Notes in Computer Science. (pp. 70-87) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21300-6_5 |
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2026 Book Chapter Large Language Models as Assessors: On the Impact of Relevance ScalesZamolo, Riccardo, Lunardi, Riccardo, Soprano, Michael, Demartini, Gianluca, Mizzaro, Stefano and Roitero, Kevin (2026). Large Language Models as Assessors: On the Impact of Relevance Scales. Lecture Notes in Computer Science. (pp. 338-348) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21300-6_24 |
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2026 Journal Article The Impact of AI-Generated Content on Decision Making for Topics Requiring ExpertiseLi, Shangqian, Chen, Tianwa and Demartini, Gianluca (2026). The Impact of AI-Generated Content on Decision Making for Topics Requiring Expertise. Human Behavior and Emerging Technologies, 2026 (1) 3410621. doi: 10.1155/hbe2/3410621 |
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2026 Book Chapter Query–Document Dense Vectors for LLM Relevance Judgment Bias AnalysisMohtadi, Samaneh and Demartini, Gianluca (2026). Query–Document Dense Vectors for LLM Relevance Judgment Bias Analysis. Lecture Notes in Computer Science. (pp. 88-103) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21300-6_6 |
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2025 Journal Article Denoising pretrained black-box models via amplitude-guided phase realignmentNi, Hongliang, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2025). Denoising pretrained black-box models via amplitude-guided phase realignment. Transactions on Machine Learning Research, December-2025, 1-16. |
