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2025 Journal Article Information analysis in criminal investigations: methods, challenges, and computational opportunities processing unstructured textSkipanes, Mads, Demartini, Gianluca, Franke, Katrin and Nissen, Alf Bernt (2025). Information analysis in criminal investigations: methods, challenges, and computational opportunities processing unstructured text. Policing: A Journal of Policy and Practice, 19 paaf005, 1-10. doi: 10.1093/police/paaf005 |
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2025 Journal Article Crowdsourcing or AI-sourcing?Christoforou, Evgenia, Demartini, Gianluca and Otterbacher, Jahna (2025). Crowdsourcing or AI-sourcing?. Communications of the ACM, 68 (4), 24-27. doi: 10.1145/3706101 |
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2025 Conference Publication Enhancing criminal investigation analysis with summarization and memory-based retrieval-augmented generation: a comprehensive evaluation of real case dataSkipanes, Mads, Jørgensen, Tollef Emil, Porter, Kyle, Demartini, Gianluca and Yayilgan, Sule Yildirim (2025). Enhancing criminal investigation analysis with summarization and memory-based retrieval-augmented generation: a comprehensive evaluation of real case data. 31st International Conference on Computational Linguistics (COLING 2025), Abu Dhabi, United Arab Emirates, 19-24 January 2025. Stroudsburg, PA, United States: Association for Computational Linguistics (ACL). |
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2025 Book Chapter Correction to: The Semantic Web – ISWC 2024Demartini, Gianluca, Hose, Katja, Acosta, Maribel, Palmonari, Matteo, Cheng, Gong, Skaf-Molli, Hala, Ferranti, Nicolas, Hernández, Daniel and Hogan, Aidan (2025). Correction to: The Semantic Web – ISWC 2024. Lecture Notes in Computer Science. (pp. C1-C2) Cham, Switzerland: Springer. doi: 10.1007/978-3-031-77847-6_19 |
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2025 Conference Publication On the Role of Information Retrieval When Teaching Artificial Intelligence: The What, the Why, and the HowDemartini, Gianluca, Mizzaro, Stefano, Roitero, Kevin and Spina, Damiano (2025). On the Role of Information Retrieval When Teaching Artificial Intelligence: The What, the Why, and the How. 2nd International Workshop on Education for Artificial Intelligence, Bologna Italy, Oct 26, 2025. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen. |
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2024 Conference Publication Optimizing LLMs with direct preferences: a data efficiency perspectiveBernardelle, Pietro and Demartini, Gianluca (2024). Optimizing LLMs with direct preferences: a data efficiency perspective. SIGIR-AP 2024: 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Tokyo, Japan, 9-12 December 2024. New York, NY, United States: ACM. doi: 10.1145/3673791.3698411 |
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2024 Conference Publication Influence of metadata on quality evaluation of unstructured information artefactsZhou, Hui, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2024). Influence of metadata on quality evaluation of unstructured information artefacts. The Australasian Conference on Information Systems (ACIS 2024), Canberra, ACT Australia, 4-6 December, 2024. AIS Electronic Library. |
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2024 Other Outputs Multimodal Entity Linking Evaluation Dataset for Art (Version 3.0)Demartini, Gianluca, Le, Thai Linh, Krestel, Ralf and Sierra, Alejandro (2024). Multimodal Entity Linking Evaluation Dataset for Art (Version 3.0). The University of Queensland. (Dataset) doi: 10.48610/8a1ccdf |
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2024 Journal Article Crowdsourced fact-checking: does it actually work?Barbera, David La, Maddalena, Eddy, Soprano, Michael, Roitero, Kevin, Demartini, Gianluca, Ceolin, Davide, Spina, Damiano and Mizzaro, Stefano (2024). Crowdsourced fact-checking: does it actually work?. Information Processing & Management, 61 (5) 103792. doi: 10.1016/j.ipm.2024.103792 |
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2024 Conference Publication Hate speech detection with generalizable target-aware fairnessChen, Tong, Wang, Danny, Liang, Xurong, Risius, Marten, Demartini, Gianluca and Yin, Hongzhi (2024). Hate speech detection with generalizable target-aware fairness. KDD '24: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671821 |
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2024 Journal Article Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing PlatformsSoprano, Michael, Roitero, Kevin, Gadiraju, Ujwal, Maddalena, Eddy and Demartini, Gianluca (2024). Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms. ACM Transactions on Social Computing, 7 (1-4), 1-49. doi: 10.1145/3674884 |
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2024 Conference Publication Fairness without sensitive attributes via knowledge sharingNi, Hongliang, Han, Lei, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2024). Fairness without sensitive attributes via knowledge sharing. 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, 3-6 June 2024. New York, NY, United States: ACM. doi: 10.1145/3630106.3659014 |
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2024 Conference Publication On the Role of Large Language Models in Crowdsourcing Misinformation AssessmentXu, Jiechen, Han, Lei, Sadiq, Shazia and Demartini, Gianluca (2024). On the Role of Large Language Models in Crowdsourcing Misinformation Assessment. Eighteenth International AAAI Conference on Web and Social Media, Buffalo, NY United States, 3-6 June 2024. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v18i1.31417 |
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2024 Conference Publication How good are LLMs in generating personalized advertisements?Meguellati, Elyas, Han, Lei, Bernstein, Abraham, Sadiq, Shazia and Demartini, Gianluca (2024). How good are LLMs in generating personalized advertisements?. WWW '24: The ACM Web Conference 2024, Singapore, 13-17 May 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3589335.3651520 |
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2024 Journal Article Editorial: Special Issue on Human in the Loop Data CurationDemartini, Gianluca, Sadiq, Shazia and Yang, Jie (2024). Editorial: Special Issue on Human in the Loop Data Curation. Journal of Data and Information Quality, 16 (1) 3, 1-2. doi: 10.1145/3650209 |
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2024 Journal Article On the impact of showing evidence from peers in crowdsourced truthfulness assessmentsXu, Jiechen, Han, Lei, Sadiq, Shazia and Demartini, Gianluca (2024). On the impact of showing evidence from peers in crowdsourced truthfulness assessments. ACM Transactions on Information Systems, 42 (3) 87, 1-26. doi: 10.1145/3637872 |
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2024 Journal Article How many crowd workers do I need? On statistical power when crowdsourcing relevance judgmentsRoitero, Kevin, Barbera, David La, Soprano, Michael, Demartini, Gianluca, Mizzaro, Stefano and Sakai, Tetsuya (2024). How many crowd workers do I need? On statistical power when crowdsourcing relevance judgments. ACM Transactions on Information Systems, 42 (1) 21, 1-26. doi: 10.1145/3597201 |
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2024 Conference Publication Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aidSai, Catherine, Sadiq, Shazia, Han, Lei, Demartini, Gianluca and Rinderle-Ma, Stefanie (2024). Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid. 18th International Conference, RCIS 2024, Guimarães, Portugal, 14-17 May 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-59465-6_11 |
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2024 Conference Publication Stochastic Featurization for Active LearningLe, Linh, Nguyen, Minh-Tien, Tran, Khai Phan, Zhao, Genghong, Xia, Zhang, Zuccon, Guido and Demartini, Gianluca (2024). Stochastic Featurization for Active Learning. Second International Workshop, TAI4H 2024, Jeju, South Korea, 4 August 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-67751-9_5 |
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2024 Conference Publication Estimating gender completeness in WikipediaPatel, Hrishi, Chen, Tianwa, Bongiovanni, Ivano and Demartini, Gianluca (2024). Estimating gender completeness in Wikipedia. The Australasian Conference on Information Systems (ACIS 2024), Canberra, ACT, Australia, 4-6 December 2024. Canberra, ACT, Australia: Australasian Conference on Information Systems. |
