Overview
Background
Dr. Gianluca Demartini is a Professor in Data Science and an ARC Future Fellow at the University of Queensland, Australia. His main research interests include Information Retrieval, Semantic Web, and Human Computation. His research is currently funded by the Australian Research Council, the Swiss National Science Foundation, Meta, Google, and the Wikimedia Foundation. He received Best Paper Awards at the ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR) in 2023, AAAI Conference on Human Computation and Crowdsourcing (HCOMP) in 2018, at the European Conference on Information Retrieval (ECIR) in 2016 and 2020, and the Best Demo award at the International Semantic Web Conference (ISWC) in 2011. He has published more than 200 peer-reviewed scientific publications including papers at major venues such as WWW, ACM SIGIR, VLDBJ, ISWC, and ACM CHI. He is an ACM Senior Member, ACM Distinguished Speaker, and a TEDx speaker.
Before joining the University of Queensland, he was a Lecturer at the University of Sheffield in UK, post-doctoral researcher at the eXascale Infolab at the University of Fribourg in Switzerland, visiting researcher at UC Berkeley, junior researcher at the L3S Research Center in Germany, and intern at Yahoo! Research in Spain. In 2011, he obtained a Ph.D. in Computer Science at the Leibniz University of Hannover in Germany focusing on Semantic Search.
Availability
- Professor Gianluca Demartini is:
- Available for supervision
- Media expert
Fields of research
Research interests
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Misinformation
Understanding how people interact with misinformation on social media and using AI to mitigate its spread online.
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Crowdsourcing and Human Computation
Improving the efficiency and effectiveness of human-in-the-loop systems.
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Big Data Analytics
Designing algorithms and systems that can scale-out to large amounts of data.
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AI for Public Good
Using Artificial Intelligence methods for societal and environmental purposes. For example, stopping the spread of misinformation online and identifying chimpanzee in videos for preservation purposes.
Research impacts
The research led by Prof. Demartini focuses on improving the efficiency and effectiveness of human-in-the-loop artificial intelligence (AI) systems with application of AI for public good. The application domains of his research include text analytics and the intersection between structured (e.g., knowledge graphs) and unstructured (e.g., text) digital content. During his research career he has collaborated with colleagues from several industry and governmental organizations like for example, Facebook, Google, Microsoft, Yahoo!, IBM, SAP, and The National Archives in the UK.
Works
Search Professor Gianluca Demartini’s works on UQ eSpace
Featured
2024
Journal Article
Cognitive biases in fact-checking and their countermeasures: a review
Soprano, 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
Featured
2024
Conference Publication
CoLAL: Co-learning active learning for text classification
Le, 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
Featured
2024
Journal Article
Who determines what is relevant? Humans or AI? Why not both? : A spectrum of human–AI collaboration in assessing relevance
Faggioli, 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
Featured
2023
Journal Article
Data bias management
Demartini, Gianluca, Roitero, Kevin and Mizzaro, Stefano (2023). Data bias management. Communications of the ACM, 67 (1), 28-32. doi: 10.1145/3611641
Featured
2023
Journal Article
Human-AI cooperation to tackle misinformation and polarization
Spina, 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
Featured
2022
Conference Publication
Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments
Roitero, 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
Featured
2020
Journal Article
CrowdCO-OP: sharing risks and rewards in crowdsourcing
Fan, 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
Featured
2020
Conference Publication
Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background
Roitero, 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
Featured
2020
Conference Publication
On understanding data worker interaction behaviors
Han, 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
Featured
2020
Journal Article
Adversarial attacks on crowdsourcing quality control
Checco, 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
Featured
2019
Conference Publication
Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data
Yang, 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
Featured
2015
Conference Publication
The dynamics of micro-task crowdsourcing: the case of amazon MTurk
Difallah, 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
Featured
2015
Conference Publication
Understanding malicious behavior in crowdsourcing platforms: the case of online surveys
Gadiraju, 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
2025
Journal Article
Enhancing peer feedback provision through user interface scaffolding: A comparative examination of scripting and self-monitoring techniques
Lahza, Hatim Fareed, Demartini, Gianluca, Noroozi, Omid, Gašević, Dragan, Sadiq, Shazia and Khosravi, Hassan (2025). Enhancing peer feedback provision through user interface scaffolding: A comparative examination of scripting and self-monitoring techniques. Computers and Education, 230 105260, 1-22. doi: 10.1016/j.compedu.2025.105260
2025
Journal Article
Information analysis in criminal investigations: methods, challenges, and computational opportunities processing unstructured text
Skipanes, 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. doi: 10.1093/police/paaf005
2025
Conference Publication
Enhancing Criminal Investigation Analysis with Summarization and Memory-based Retrieval-Augmented Generation: A Comprehensive Evaluation of Real Case Data
Skipanes, 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. Association for Computational Linguistics (ACL).
2024
Conference Publication
Optimizing LLMs with direct preferences: a data efficiency perspective
Bernardelle, 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
2024
Conference Publication
Influence of metadata on quality evaluation of unstructured information artefacts
Zhou, 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.
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
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
Funding
Current funding
Supervision
Availability
- Professor Gianluca Demartini is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Supervision history
Current supervision
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Doctor Philosophy
Bias Mitigation in Human in the Loop Decision Systems
Principal Advisor
Other advisors: Professor Shazia Sadiq
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Doctor Philosophy
Retrieval Augmented Generation: A Paradigm Shift in Natural Language Processing
Principal Advisor
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Doctor Philosophy
Human-centered Artificial Intelligence for Democracy
Principal Advisor
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Doctor Philosophy
Bias in Data Pipelines and AI Systems
Principal Advisor
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Doctor Philosophy
Human-Centred Artificial Intelligence for Democracy
Principal Advisor
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Master Philosophy
Online discussion summarisation and interaction
Principal Advisor
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Doctor Philosophy
Human in the Loop Decision Systems for Online Safety
Principal Advisor
Other advisors: Professor Tim Miller
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Doctor Philosophy
Synergising Learning Sciences, Learning Analytics, and Educational Technologies
Associate Advisor
Other advisors: Dr Hassan Khosravi
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Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
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Doctor Philosophy
Sensemaking in Multi-artefact Information Tasks
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
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Doctor Philosophy
Extreme Analytics
Associate Advisor
Other advisors: Associate Professor Stephen Viller, Dr Jarrod Knibbe, Dr Maxime Cordeil
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Doctor Philosophy
Crowd Sourced Data Curation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
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Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
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Doctor Philosophy
Integrating Human and Machine Intelligence Towards the Development of an Adaptive Learning System
Associate Advisor
Other advisors: Dr Hassan Khosravi
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Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
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Doctor Philosophy
Sensemaking in Multi-artefact Information Tasks
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
Completed supervision
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2024
Doctor Philosophy
A Study of Active Learning for Named Entity Recognition
Principal Advisor
Other advisors: Professor Guido Zuccon
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2024
Doctor Philosophy
Automating Expertise in Identifying Structured Data Quality Issues: From Experts, Through Novices, to Machines
Principal Advisor
Other advisors: Professor Shazia Sadiq, Professor Marta Indulska
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2024
Doctor Philosophy
On the Role of Human and Machine Metadata in Crowdsourced Data Annotation
Principal Advisor
Other advisors: Professor Shazia Sadiq, Professor Marta Indulska
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2023
Doctor Philosophy
Improving the Work Environment and Data Quality in Micro-Task Crowdsourcing
Principal Advisor
Other advisors: Professor Shazia Sadiq
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2021
Doctor Philosophy
Intelligence Behind Annotations: A Study of Understanding Interaction Behavior when the Human is in the Loop
Principal Advisor
Other advisors: Professor Shazia Sadiq
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2024
Doctor Philosophy
Synergising Learning Sciences, Learning Analytics, and Educational Technologies
Associate Advisor
Other advisors: Dr Hassan Khosravi
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2020
Doctor Philosophy
Search Engines that Help People Make Better Health Decisions
Associate Advisor
Other advisors: Professor Guido Zuccon
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Media
Enquiries
Contact Professor Gianluca Demartini directly for media enquiries about:
- AI
- AI for Good
- Artificial Intelligence
- Bias
- Big data
- Crowdsourcing
- Data Analytics
- Data Science
- Disinformation
- Fairness
- Fake News
- Human Computation
- Knowledge Graphs
- Misinformation
- Text Analytics
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