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
2026
Conference Publication
Large language models as assessors: on the impact of relevance scales
Zamolo, Riccardo, Lunardi, Riccardo, Soprano, Michael, Demartini, Gianluca, Mizzaro, Stefano and Roitero, Kevin (2026). Large language models as assessors: on the impact of relevance scales. 48th European Conference on Information Retrieval, Delft, The Netherlands, 29 March-2 April 2026. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-032-21300-6_24
2026
Journal Article
The impact of AI-generated content on decision making for topics requiring expertise
Li, 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, 1-13. doi: 10.1155/hbe2/3410621
2026
Conference Publication
Query–Document Dense Vectors for LLM Relevance Judgment Bias Analysis
Mohtadi, Samaneh and Demartini, Gianluca (2026). Query–Document Dense Vectors for LLM Relevance Judgment Bias Analysis. Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21300-6_6
2026
Journal Article
Investigating 3D selection performance while running in extended reality: an in-depth study of the effect of speed
Li, Ang, Knibbe, Jarrod, Tatsuzawa, Kiichiro, Demartini, Gianluca, Viller, Stephen, Wallis, Guy, Stuerzlinger, Wolfgang and Cordeil, Maxime (2026). Investigating 3D selection performance while running in extended reality: an in-depth study of the effect of speed. IEEE Transactions on Visualization and Computer Graphics, 1-13. doi: 10.1109/tvcg.2026.3722681
2026
Conference Publication
The Effect of Document Summarization on LLM-Based Relevance Judgments
Mohtadi, Samaneh, Roitero, Kevin, Mizzaro, Stefano and Demartini, Gianluca (2026). The Effect of Document Summarization on LLM-Based Relevance Judgments. Cham: Springer Nature Switzerland. doi: 10.1007/978-3-032-21300-6_5
2026
Conference Publication
A Shared Geometry of Difficulty in Multilingual Language Models
Civelli, Stefano, Bernardelle, Pietro, Brunello, Nicolò and Demartini, Gianluca (2026). A Shared Geometry of Difficulty in Multilingual Language Models. Stroudsburg, PA, USA: Association for Computational Linguistics. doi: 10.18653/v1/2026.acl-short.66
2025
Journal Article
Denoising pretrained black-box models via amplitude-guided phase realignment
Ni, 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.
2025
Journal Article
Running with data: a survey of the current research and a design exploration of future immersive visualisations
Li, Ang, Perin, Charles, Demartini, Gianluca, Viller, Stephen, Knibbe, Jarrod and Cordei, Maxime (2025). Running with data: a survey of the current research and a design exploration of future immersive visualisations. IEEE Transactions on Visualization and Computer Graphics, 32 (1), 1076-1086. doi: 10.1109/tvcg.2025.3634631
2025
Journal Article
Natural language processing for the legal domain: a survey of tasks, datasets, models, and challenges
Ariai, Farid, Mackenzie, Joel and Demartini, Gianluca (2025). Natural language processing for the legal domain: a survey of tasks, datasets, models, and challenges. ACM Computing Surveys, 58 (6) 163, 1-37. doi: 10.1145/3777009
2025
Journal Article
Enhancing media literacy: the effectiveness of (Human) annotations and bias visualizations on bias detection
Spinde, Timo, Wu, Fei, Gaissmaier, Wolfgang, Demartini, Gianluca, Echizen, Isao and Giese, Helge (2025). Enhancing media literacy: the effectiveness of (Human) annotations and bias visualizations on bias detection. Information Processing and Management, 62 (6) 104244. doi: 10.1016/j.ipm.2025.104244
2025
Journal Article
Provoking critical thinking: using counter-arguments in online discussion summarisation
Li, Shangqian, Han, Lei and Demartini, Gianluca (2025). Provoking critical thinking: using counter-arguments in online discussion summarisation. Information Processing and Management, 62 (6) 104258, 1-18. doi: 10.1016/j.ipm.2025.104258
2025
Conference Publication
Exploring Wikipedia gender diversity over time — The Wikipedia Gender Dashboard (WGD)
Yunus, Yahya, Chen, Tianwa and Demartini, Gianluca (2025). Exploring Wikipedia gender diversity over time — The Wikipedia Gender Dashboard (WGD). WWW'25, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3715175
2025
Journal Article
The interaction between emotion dynamics and opinion changes in the era of generative AI
Li, Shangqian, Fan, Shaoyang and Demartini, Gianluca (2025). The interaction between emotion dynamics and opinion changes in the era of generative AI. Computers in Human Behavior Reports, 19 100722, 1-18. doi: 10.1016/j.chbr.2025.100722
2025
Conference Publication
Preaching to the ChoIR: lessons IR should share with AI
Demartini, Gianluca, Hauff, Claudia, Lease, Matthew, Mizzaro, Stefano, Roitero, Kevin, Sanderson, Mark, Scholer, Falk, Shah, Chirag, Spina, Damiano, Thomas, Paul, de Vries, Arjen P. and Zuccon, Guido (2025). Preaching to the ChoIR: lessons IR should share with AI. ICTIR '25: International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, Padua, Italy, 18 July 2025. New York, NY USA: ACM. doi: 10.1145/3731120.3744612
2025
Conference Publication
How do experts make sense of integrated process models?
Chen, Tianwa, Weber, Barbara, Shanks, Graeme, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2025). How do experts make sense of integrated process models?. 37th International Conference, CAiSE 2025, Vienna, Austria, 16-20 June 2025. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-94571-7_1
2025
Conference Publication
LLM-Based Semantic Augmentation for Harmful Content Detection
Meguellati, Elyas, Zeghina, Assaad, Sadiq, Shazia and Demartini, Gianluca (2025). LLM-Based Semantic Augmentation for Harmful Content Detection. Nineteenth International AAAI Conference on Web and Social Media, Copenhagen, Denmark, 23-26 June 2025. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v19i1.35868
2025
Conference Publication
Perception of Visual Content: Differences Between Humans and Foundation Models
Pratama, Nardiena A., Fan, Shaoyang and Demartini, Gianluca (2025). Perception of Visual Content: Differences Between Humans and Foundation Models. Nineteenth International AAAI Conference on Web and Social Media, Copenhagen, Denmark, 23-26 June 2025. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v19i1.35891
2025
Journal Article
Embedded and situated visualisation in mixed reality to support interval running
Li, A., Perin, C., Knibbe, J., Demartini, G., Viller, S. and Cordeil, M. (2025). Embedded and situated visualisation in mixed reality to support interval running. Computer Graphics Forum, 44 (3) e70133, 1-12. doi: 10.1111/cgf.70133
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
Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025)
Trippas, Johanne R., Culpepper, J. Shane, Aliannejadi, Mohammad, Allan, James, Amigó, Enrique, Arguello, Jaime, Azzopardi, Leif, Bailey, Peter, Callan, Jamie, Capra, Rob, Craswell, Nick, Croft, Bruce, Dalton, Jeff, Demartini, Gianluca, Dietz, Laura, Dou, Zhicheng, Eickhoff, Carsten, Ekstrand, Michael, Ferro, Nicola, Fuhr, Norbert, Glowacka, Dorota, Hasibi, Faegheh, Hettiachchi, Danula, Jones, Rosie, Kamps, Jaap, Kando, Noriko, Karimi, Sarvnaz, Kato, Makoto P., Koopman, Bevan ... Zuccon, Guido (2025). Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). ACM SIGIR Forum, 59 (1), 1-68. doi: 10.1145/3769733.3769739
Funding
Current funding
Supervision
Availability
- Professor Gianluca Demartini is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Available projects
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Bias in data pipelines and AI systems
This PhD scholarship is in the context of an Australian Research Council fellowship titled "A principled approach to data bias management in data pipelines".
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
The Duality of Persuasion: Between Generation and Detection
Principal Advisor
Other advisors: Professor Shazia Sadiq
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Doctor Philosophy
From Auditing to Mitigation: The Role of Persona in Studying and Controlling Ideological Biases in Large Language Models
Principal Advisor
Other advisors: Dr Joel Mackenzie
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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
Bias in Data Pipelines and AI Systems
Principal Advisor
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Doctor Philosophy
Political Bias in Large Language Models: a Persona-based Perspective
Principal Advisor
Other advisors: Dr Joel Mackenzie
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Doctor Philosophy
Human-Centred Artificial Intelligence for Democracy
Principal Advisor
Other advisors: Dr Joel Mackenzie
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Doctor Philosophy
Modelling the Effect of Large Language Model on Online Decision-Making
Principal Advisor
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Doctor Philosophy
Embodied and Situated Visualisation for Data-driven Running
Associate Advisor
Other advisors: Associate Professor Stephen Viller, Dr Jarrod Knibbe, Associate Professor Maxime Cordeil
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Doctor Philosophy
On Understanding the Role of Metadata in Evaluating the Quality of Repurposed Data
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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2025
Doctor Philosophy
Sensemaking in Integrative Multi-artefact Information Tasks
Associate Advisor
Other advisors: Professor Marta Indulska, 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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