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
-
Misinformation
Understanding how people interact with misinformation on social media and using AI to mitigate its spread online.
-
Crowdsourcing and Human Computation
Improving the efficiency and effectiveness of human-in-the-loop systems.
-
Big Data Analytics
Designing algorithms and systems that can scale-out to large amounts of data.
-
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
2022
Conference Publication
Evaluating the quality of repurposed data – the role of metadata
Zhou, Hui, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2022). Evaluating the quality of repurposed data – the role of metadata. 32nd Australasian Conference on Information Systems (ACIS), Wellington, New Zealand, 1-4 December 2020. Atlanta, GA USA: Association for Information Systems.
2022
Conference Publication
Effects of technological interventions for self-regulation: a control experiment in learnersourcing
Lahza, Hatim, Khosravi, Hassan, Demartini, Gianluca and Gasevic, Dragan (2022). Effects of technological interventions for self-regulation: a control experiment in learnersourcing. LAK22: 12th International Learning Analytics and Knowledge Conference, Virtual, United States, 21 - 25 March 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3506860.3506911
2022
Journal Article
Information resilience: the nexus of responsible and agile approaches to information use
Sadiq, Shazia, Aryani, Amir, Demartini, Gianluca, Hua, Wen, Indulska, Marta, Burton-Jones, Andrew, Khosravi, Hassan, Benavides-Prado, Diana, Sellis, Timos, Someh, Ida, Vaithianathan, Rhema, Wang, Sen and Zhou, Xiaofang (2022). Information resilience: the nexus of responsible and agile approaches to information use. The VLDB Journal, 31 (5), 1059-1084. doi: 10.1007/s00778-021-00720-2
2022
Conference Publication
A behavioural analysis of metadata use in evaluating the quality of repurposed data
Zhou, Hui, Han, Lei, Dermatini, Gianluca, Indulska, Marta and Sadiq, Shazia (2022). A behavioural analysis of metadata use in evaluating the quality of repurposed data. 41st International Conference on Conceptual Modeling, ER 2022, Hyderabad, India, 17-20 October 2022. Heidelberg, Germany: Springer International Publishing. doi: 10.1007/978-3-031-17995-2_22
2022
Conference Publication
BUM at CheckThat! 2022: a composite deep learning approach to fake news detection using evidence retrieval
La Barbera, David, Roitero, Kevin, Mackenzie, Joel, Spina, Damiano, Demartini, Gianluca and Mizzaro, Stefano (2022). BUM at CheckThat! 2022: a composite deep learning approach to fake news detection using evidence retrieval. CLEF 2022 – Conference and Labs of the Evaluation Forum,, Bologna, Italy, 5-8 September 2022. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V.
2021
Conference Publication
Hierarchical clustering of corals using image clustering
Sawant, Rudra, Demartini, Gianluca and Bridge, Tom (2021). Hierarchical clustering of corals using image clustering. ADCS '21: Proceedings of the 25th Australasian Document Computing Symposium, Online, 9 December 2021. New York, NY United States: ACM. doi: 10.1145/3503516.3503531
2021
Conference Publication
An Analysis of the Australian Political Discourse in Sponsored Social Media Content
Han, Lei, Sawant, Rudra, Fan, Shaoyang, Kefford, Glenn and Demartini, Gianluca (2021). An Analysis of the Australian Political Discourse in Sponsored Social Media Content. ADCS '21: Australasian Document Computing Symposium, Online, 9 December 2021. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3503516.3503533
2021
Conference Publication
Iterative human-in-the-loop discovery of unknown unknowns in image datasets
Han, Lei, Dong, Xiao and Demartini, Gianluca (2021). Iterative human-in-the-loop discovery of unknown unknowns in image datasets. 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021), Online, 14-18 November 2021. Palo Alto, CA United States: AAAI Press. doi: 10.1609/hcomp.v9i1.18941
2021
Journal Article
The many dimensions of truthfulness: crowdsourcing misinformation assessments on a multidimensional scale
Soprano, Michael, Roitero, Kevin, La Barbera, David, Ceolin, Davide, Spina, Damiano, Mizzaro, Stefano and Demartini, Gianluca (2021). The many dimensions of truthfulness: crowdsourcing misinformation assessments on a multidimensional scale. Information Processing and Management, 58 (6) 102710, 1-22. doi: 10.1016/j.ipm.2021.102710
2021
Journal Article
On the state of reporting in crowdsourcing experiments and a checklist to aid current practices
Ramírez, Jorge, Sayin, Burcu, Baez, Marcos, Casati, Fabio, Cernuzzi, Luca, Benatallah, Boualem and Demartini, Gianluca (2021). On the state of reporting in crowdsourcing experiments and a checklist to aid current practices. Proceedings of the ACM on Human-Computer Interaction, 5 (CSCW2) 387, 1-34. doi: 10.1145/3479531
2021
Journal Article
Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19
Roitero, Kevin, Soprano, Michael, Portelli, Beatrice, De Luise, Massimiliano, Spina, Damiano, Mea, Vincenzo Della, Serra, Giuseppe, Mizzaro, Stefano and Demartini, Gianluca (2021). Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19. Personal and Ubiquitous Computing, 27 (1), 1-31. doi: 10.1007/s00779-021-01604-6
2021
Conference Publication
Loss-based active learning for named entity recognition
Linh, Le Thai, Nguyen, Minh-Tien, Zuccon, Guido and Demartini, Gianluca (2021). Loss-based active learning for named entity recognition. 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, 18-22 July, 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ijcnn52387.2021.9533675
2021
Conference Publication
Charting the design and analytics agenda of learnersourcing systems
Khosravi, Hassan, Demartini, Gianluca, Sadiq, Shazia and Gasevic, Dragan (2021). Charting the design and analytics agenda of learnersourcing systems. 11th International Learning Analytics and Knowledge Conference, Irvine, CA USA, April 2021. New York, NY, USA: ACM. doi: 10.1145/3448139.3448143
2021
Journal Article
Evaluating the quality of learning resources: a Learnersourcing approach
Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Demartini, Gianluca (2021). Evaluating the quality of learning resources: a Learnersourcing approach. IEEE Transactions on Learning Technologies, 14 (1) 9353264, 81-92. doi: 10.1109/tlt.2021.3058644
2021
Conference Publication
CoralExp: An Explainable System to Support Coral Taxonomy Research
Harding, Jaiden, Bridge, Tom and Demartini, Gianluca (2021). CoralExp: An Explainable System to Support Coral Taxonomy Research. 43rd European Conference on IR Research, ECIR 2021, Online, 28 March – 1 April 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-72240-1_55
2020
Journal Article
Making AI Machines Work for Humans in FoW
Amer-Yahia, Sihem, Basu Roy, Senjuti, Chen, Lei, Morishima, Atsuyuki, Abello Monedero, James, Bourhis, Pierre, Charoy, François, Danilevsky, Marina, Das, Gautam, Demartini, Gianluca, Dubey, Abhishek, Elbassuoni, Shady, Gross-Amblard, David, Hoareau, Emilie, Inoguchi, Munenari, Kenworthy, Jared, Kitahara, Itaru, Lee, Dongwon, Li, Yunyao, Borromeo, Ria Mae, Papotti, Paolo, Rao, Raghav, Roy, Sudeepa, Senellart, Pierre, Tajima, Keishi, Thirumuruganathan, Saravanan, Tommasi, Marion, Umemoto, Kazutoshi, Wiggins, Andrea and Yoshida, Koichiro (2020). Making AI Machines Work for Humans in FoW. SIGMOD Record, 49 (2), 30-35. doi: 10.1145/3442322.3442327
2020
Conference Publication
Modelling User Behavior Dynamics with Embeddings
Han, Lei, Checco, Alessandro, Difallah, Djellel, Demartini, Gianluca and Sadiq, Shazia (2020). Modelling User Behavior Dynamics with Embeddings. 29th ACM International Conference on Information & Knowledge Management, Online, 19-23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3411985
2020
Conference Publication
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Roitero, Kevin, Soprano, Michael, Portelli, Beatrice, Spina, Damiano, Della Mea, Vincenzo, Serra, Giuseppe, Mizzaro, Stefano and Demartini, Gianluca (2020). The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?. 29th ACM International Conference on Information & Knowledge Management, Online, 19 - 23 October 2020. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3340531.3412048
2020
Journal Article
Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and Opportunities
Demartini, Gianluca, Mizzaro, Stefano and Spina, Damiano (2020). Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and Opportunities. The Bulletin of the Technical Committee on Data Engineering, 65-74.
2020
Conference Publication
A region selection model to identify unknown unknowns in image datasets
Dong, Xiao, Zhang, Huaxiang and Demartini, Gianluca (2020). A region selection model to identify unknown unknowns in image datasets. 24th European Conference on Artificial Intelligence, ECAI 2020, Santiago de Compostela, Spain, 29 August - 8 September 2020. Amsterdam, Netherlands: IOS Press. doi: 10.3233/FAIA200128
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
-
Doctor Philosophy
Retrieval Augmented Generation: A Paradigm Shift in Natural Language Processing
Principal Advisor
-
Doctor Philosophy
Human in the Loop Decision Systems for Online Safety
Principal Advisor
Other advisors: Professor Tim Miller
-
Doctor Philosophy
Bias Mitigation in Human in the Loop Decision Systems
Principal Advisor
Other advisors: Professor Shazia Sadiq
-
Doctor Philosophy
Human-Centred Artificial Intelligence for Democracy
Principal Advisor
-
-
Doctor Philosophy
Human-centered Artificial Intelligence for Democracy
Principal Advisor
-
Doctor Philosophy
Bias in Data Pipelines and AI Systems
Principal Advisor
-
Master Philosophy
Online discussion summarisation and interaction
Principal Advisor
-
Doctor Philosophy
Extreme Analytics
Associate Advisor
Other advisors: Associate Professor Stephen Viller, Dr Jarrod Knibbe, Dr Maxime Cordeil
-
Doctor Philosophy
Sensemaking in Multi-artefact Information Tasks
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
-
Doctor Philosophy
Crowd Sourced Data Curation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
-
Doctor Philosophy
Synergising Learning Sciences, Learning Analytics, and Educational Technologies
Associate Advisor
Other advisors: Dr Hassan Khosravi
-
Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
-
Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
-
Doctor Philosophy
Integrating Human and Machine Intelligence Towards the Development of an Adaptive Learning System
Associate Advisor
Other advisors: Dr Hassan Khosravi
-
Doctor Philosophy
Sensemaking in Multi-artefact Information Tasks
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
-
Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
Associate Advisor
Other advisors: Professor Marta Indulska, Professor Shazia Sadiq
Completed supervision
-
2024
Doctor Philosophy
A Study of Active Learning for Named Entity Recognition
Principal Advisor
Other advisors: Professor Guido Zuccon
-
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
-
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
-
2023
Doctor Philosophy
Improving the Work Environment and Data Quality in Micro-Task Crowdsourcing
Principal Advisor
Other advisors: Professor Shazia Sadiq
-
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
-
2024
Doctor Philosophy
Synergising Learning Sciences, Learning Analytics, and Educational Technologies
Associate Advisor
Other advisors: Dr Hassan Khosravi
-
-
-
2020
Doctor Philosophy
Search Engines that Help People Make Better Health Decisions
Associate Advisor
Other advisors: Professor Guido Zuccon
-
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
Need help?
For help with finding experts, story ideas and media enquiries, contact our Media team: