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
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, 1-10. doi: 10.1093/police/paaf005
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
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. 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).
2025
Book Chapter
Correction to: The Semantic Web – ISWC 2024
Demartini, 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
2025
Conference Publication
On the Role of Information Retrieval When Teaching Artificial Intelligence: The What, the Why, and the How
Demartini, 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.
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
2024
Conference Publication
Hate speech detection with generalizable target-aware fairness
Chen, 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
2024
Journal Article
Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms
Soprano, 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
2024
Conference Publication
Fairness without sensitive attributes via knowledge sharing
Ni, 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
2024
Conference Publication
On the Role of Large Language Models in Crowdsourcing Misinformation Assessment
Xu, 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
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
2024
Journal Article
Editorial: Special Issue on Human in the Loop Data Curation
Demartini, 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
2024
Journal Article
On the impact of showing evidence from peers in crowdsourced truthfulness assessments
Xu, 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
2024
Journal Article
How many crowd workers do I need? On statistical power when crowdsourcing relevance judgments
Roitero, 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
2024
Conference Publication
Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid
Sai, 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
2024
Conference Publication
Stochastic Featurization for Active Learning
Le, 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
2024
Conference Publication
Estimating gender completeness in Wikipedia
Patel, 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.
Funding
Current funding
Past funding
Supervision
Availability
- Professor Gianluca Demartini is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Supervision history
Current supervision
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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
Human-Centred Artificial Intelligence for Democracy
Principal Advisor
Other advisors: Dr Joel Mackenzie
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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
Political Bias in Large Language Models: a Persona-based Perspective
Principal Advisor
Other advisors: Dr Joel Mackenzie
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Doctor Philosophy
Bias in Data Pipelines and AI Systems
Principal Advisor
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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
Modelling the Effect of Large Language Model on Online Decision-Making
Principal Advisor
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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
Extreme Analytics
Associate Advisor
Other advisors: Associate Professor Stephen Viller, Dr Jarrod Knibbe, Associate Professor Maxime Cordeil
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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