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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 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 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. |
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2024 Other Outputs Multimodal Entity Linking Evaluation Dataset for Art (Version 2.0)Demartini, Gianluca, Le, Thai Linh, Krestel, Ralf and Sierra, Alejandro (2024). Multimodal Entity Linking Evaluation Dataset for Art (Version 2.0). The University of Queensland. (Dataset) doi: 10.48610/76f58a5 |
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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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2023 Conference Publication Exploring data workers’ behaviours in data quality discoveryChen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2023). Exploring data workers’ behaviours in data quality discovery. Australasian Conferences on Information Systems 2023, Wellington, New Zealand, 5-8 December 2023. Atlanta, GA USA: Association for Information Systems. |
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2023 Journal Article Active learning with feature matching for clinical named entity recognitionLe, Linh, Demartini, Gianluca, Zuccon, Guido, Zhao, Genghong and Zhang, Xia (2023). Active learning with feature matching for clinical named entity recognition. Natural Language Processing Journal, 4 100015, 1-11. doi: 10.1016/j.nlp.2023.100015 |
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2023 Conference Publication Perspectives on large language models for relevance judgmentFaggioli, Guglielmo, Dietz, Laura, Clarke, Charles L. A., Demartini, Gianluca, Hagen, Matthias, Hauff, Claudia, Kando, Noriko, Kanoulas, Evangelos, Potthast, Martin, Stein, Benno and Wachsmuth, Henning (2023). Perspectives on large language models for relevance judgment. 13th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), Taipei, Taiwan, 23 July 2023. New York, United States: Association for Computing Machinery. doi: 10.1145/3578337.3605136 |
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2023 Conference Publication On the impact of data quality on image classification fairnessBarry, Aki, Han, Lei and Demartini, Gianluca (2023). On the impact of data quality on image classification fairness. SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Taipei, Taiwan, 23 - 27 July 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3539618.3592031 |
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2023 Journal Article A data-driven analysis of behaviors in data curation processesHan, Lei, Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2023). A data-driven analysis of behaviors in data curation processes. ACM Transactions on Information Systems, 41 (3) 72, 1-35. doi: 10.1145/3567419 |
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2023 Conference Publication Firearms on Twitter: A novel object detection pipelineHarvey, Ryan, Lebret, Rémi, Massonnet, Stéphane, Aberer, Karl and Demartini, Gianluca (2023). Firearms on Twitter: A novel object detection pipeline. Seventeenth International AAAI Conference on Web and Social Media, Limassol, Cyprus, 5–8 June 2023. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/icwsm.v17i1.22221 |
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2023 Journal Article DataOps-4G: on supporting generalists in data quality discoveryYu, Shaochen, Chen, Tianwa, Han, Lei, Demartini, Gianluca and Sadiq, Shazia (2023). DataOps-4G: on supporting generalists in data quality discovery. IEEE Transactions on Knowledge and Data Engineering, 35 (5), 4668-4681. doi: 10.1109/tkde.2022.3151605 |
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2023 Conference Publication The community notes observatory: can crowdsourced fact-checking be trusted in practice?Righes, Luca, Saeed, Mohammed, Demartini, Gianluca and Papotti, Paolo (2023). The community notes observatory: can crowdsourced fact-checking be trusted in practice?. WW '23 Companion: ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, NY, United States: ACM. doi: 10.1145/3543873.3587340 |
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2023 Conference Publication Human-in-the-loop regular expression extraction for single column format inconsistencyYu, Shaochen, Han, Lei, Indulska, Marta, Sadiq, Shazia and Demartini, Gianluca (2023). Human-in-the-loop regular expression extraction for single column format inconsistency. WWW '23: ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, United States: Association for Computing Machinery. doi: 10.1145/3543507.3583515 |
