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
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
Conference Publication
The Impact of Persona-based Political Perspectives on Hateful Content Detection
Civelli, Stefano, Bernardelle, Pietro and Demartini, Gianluca (2025). The Impact of Persona-based Political Perspectives on Hateful Content Detection. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3718383
2025
Conference Publication
Mapping and influencing the political ideology of large language models using synthetic personas
Bernardelle, Pietro, Fröhling, Leon, Civelli, Stefano, Lunardi, Riccardo, Roitero, Kevin and Demartini, Gianluca (2025). Mapping and influencing the political ideology of large language models using synthetic personas. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April-2 May 2025. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3701716.3715578
2025
Conference Publication
Bias in Humans and AI - What To Do About It?
Demartini, Gianluca (2025). Bias in Humans and AI - What To Do About It?. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3719143
2025
Conference Publication
Are Large Language Models Good Data Preprocessors?
Meguellati, Elyas, Pratama, Nardiena, Sadiq, Shazia and Demartini, Gianluca (2025). Are Large Language Models Good Data Preprocessors?. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3717568
2025
Conference Publication
BiasNavi: LLM-Empowered Data Bias Management
Yu, Junliang, Huynh, Jay Thai Duong, Fan, Shaoyang, Demartini, Gianluca, Chen, Tong, Yin, Hongzhi and Sadiq, Shazia (2025). BiasNavi: LLM-Empowered Data Bias Management. New York, NY, USA: ACM. doi: 10.1145/3701716.3715169
2025
Conference Publication
Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant
He, Gaole, Demartini, Gianluca and Gadiraju, Ujwal (2025). Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant. 2025 Conference on Human Factors in Computing Systems-CHI, Yokohama Japan, Apr 26-May 01, 2025. New York, NY, USA: ACM. doi: 10.1145/3706598.3713218
2025
Conference Publication
Fast Synthetic Data Generation for Case-Specific Entity Extraction in Criminal Investigations
Skipanes, Mads, Pratama, Nardiena, Porter, Kyle and Demartini, Gianluca (2025). Fast Synthetic Data Generation for Case-Specific Entity Extraction in Criminal Investigations. DFDS 2025: Digital Forensics Doctoral Symposium, Brno, Czech Republic, 1 April 2025. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3712716.3712719
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
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).
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
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
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
Human-Centred Artificial Intelligence for Democracy
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
Human-centered Artificial Intelligence for Democracy
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
Bias in Data Pipelines and AI Systems
Principal Advisor
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Master Philosophy
Online discussion summarisation and interaction
Principal Advisor
Other advisors: Dr Joel Mackenzie
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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, Dr 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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