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
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
2020
Conference Publication
QuRVe: Query Refinement for View Recommendation in visual data exploration
Ehsan, Humaira, Sharaf, Mohamed A. and Demartini, Gianluca (2020). QuRVe: Query Refinement for View Recommendation in visual data exploration. 24th European Conference on Advances in Databases and Information Systems, ADBIS 2020, Lyon, France, 25 - 27 August 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-54623-6_14
2020
Conference Publication
Representation learning for entity type ranking
Rahman, Md Mostafizur, Takasu, Atsuhiro and Demartini, Gianluca (2020). Representation learning for entity type ranking. SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, Brno, Czech Republic, 30 March-3 April 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3341105.3374029
2020
Conference Publication
Zika outbreak of 2016: insights from twitter
Ahmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2020). Zika outbreak of 2016: insights from twitter. International Conference on Human-Computer Interaction, Copenhagen, Denmark, 19-24 July 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-49576-3_32
2020
Conference Publication
Crowdsourcing truthfulness: the impact of judgment scale and assessor bias
La Barbera, David, Roitero, Kevin, Demartini, Gianluca, Mizzaro, Stefano and Spina, Damiano (2020). Crowdsourcing truthfulness: the impact of judgment scale and assessor bias. European Conference on Information Retrieval, Lisbon, Portugal, 14-17 April 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-45442-5_26
2020
Conference Publication
Crowd worker strategies in relevance judgment tasks
Han, Lei, Maddalena, Eddy, Checco, Alessandro, Sarasua, Cristina, Gadiraju, Ujwal, Roitero, Kevin and Demartini, Gianluca (2020). Crowd worker strategies in relevance judgment tasks. 13th International Conference on Web Search and Data Mining, Houston, Texas, 3-7 February 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3336191.3371857
2020
Conference Publication
Building data curation processes with crowd intelligence
Chen, Tianwa, Han, Lei, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). Building data curation processes with crowd intelligence. CAiSE Forum 2020: Advanced Information Systems Engineering, Grenoble, France, 8 – 12 June 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-58135-0_3
2019
Conference Publication
Platform-Related Factors in Repeatability and Reproducibility of Crowdsourcing Tasks
Qarout, Rehab, Checco, Alessandro, Demartini, Gianluca and Bontcheva, Kalina (2019). Platform-Related Factors in Repeatability and Reproducibility of Crowdsourcing Tasks. Seventh AAAI Conference on Human Computation and Crowdsourcing, Stevenson, WA United States, 28-30 October 2019. Washington, DC United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/hcomp.v7i1.5264
2019
Journal Article
The evolution of power and standard wikidata editors: comparing editing behavior over time to predict lifespan and volume of edits
Sarasua, Cristina, Checco, Alessandro, Demartini, Gianluca, Difallah, Djellel, Feldman, Michael and Pintscher, Lydia (2019). The evolution of power and standard wikidata editors: comparing editing behavior over time to predict lifespan and volume of edits. Computer Supported Cooperative Work: CSCW: An International Journal, 28 (5), 843-882. doi: 10.1007/s10606-018-9344-y
2019
Journal Article
Health cards to assist decision making in consumer health search
Jimmy, , Zuccon, Guido, Demartini, Gianluca and Koopman, Bevan (2019). Health cards to assist decision making in consumer health search. AMIA Annual Symposium. Proceedings, 2019, 1091-1100.
2019
Journal Article
Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data
Ahmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2019). Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data. Health Information and Libraries Journal, 36 (1), 60-72. doi: 10.1111/hir.12247
2019
Journal Article
Deadline-aware fair scheduling for multi-tenant crowd-powered systems
Difallah, Djellel, Checco, Alessandro, Demartini, Gianluca and Cudré-Mauroux, Philippe (2019). Deadline-aware fair scheduling for multi-tenant crowd-powered systems. ACM Transactions on Social Computing, 2 (1), 1-29. doi: 10.1145/3301003
2019
Conference Publication
Implicit bias in crowdsourced knowledge graphs
Demartini, Gianluca (2019). Implicit bias in crowdsourced knowledge graphs. World Wide Web Conference (WWW 2019), San Francisco, CA, United States, 13-17 May 2019. New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/3308560.3317307
2019
Conference Publication
Non-parametric class completeness estimators for collaborative knowledge graphs—the case of Wikidata
Luggen, Michael, Difallah, Djellel, Sarasua, Cristina, Demartini, Gianluca and Cudré-Mauroux, Philippe (2019). Non-parametric class completeness estimators for collaborative knowledge graphs—the case of Wikidata. International Semantic Web Conference, Auckland, New Zealand, 26-30 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-30793-6_26
2019
Conference Publication
UQ at the TREC 2019 News Track
Le, Vu Anh and Demartini, Gianluca (2019). UQ at the TREC 2019 News Track. 28th Text REtrieval Conference, Gaithersburg, MA USA, 13-15 November 2019. Gaithersburg, MA USA: National Institute of Standards and Technology.
2019
Book Chapter
Semantic Interlinking
Demartini, Gianluca (2019). Semantic Interlinking. Encyclopedia of Big Data Technologies. (pp. 1496-1500) Cham, Switzerland: Springer. doi: 10.1007/978-3-319-77525-8_229
2019
Conference Publication
Understanding worker moods and reactions to rejection in crowdsourcing
Gadiraju, Ujwal and Demartini, Gianluca (2019). Understanding worker moods and reactions to rejection in crowdsourcing. 30th ACM Conference on Hypertext and Social Media, Hof, Germany, 17-20 September 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3342220.3343644
2019
Journal Article
The Impact of Task Abandonment in Crowdsourcing
Han, Lei, Roitero, Kevin, Gadiraju, Ujwal, Sarasua, Cristina, Checco, Alessandro, Maddalena, Eddy and Demartini, Gianluca (2019). The Impact of Task Abandonment in Crowdsourcing. IEEE Transactions on Knowledge and Data Engineering, 33 (5) 8873609, 1-1. doi: 10.1109/tkde.2019.2948168
2019
Conference Publication
Health cards for consumer health search
Jimmy, Koopman, Bevan, Zuccon, Guido and Demartini, Gianluca (2019). Health cards for consumer health search. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, France, 21-25 July 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3331184.3331194
2019
Conference Publication
How many truth levels? Six? One hundred? Even more? Validating truthfulness of statements via crowdsourcing
Roitero, Kevin, Demartini, Gianluca, Mizzaro, Stefano and Spina, Damiano (2019). How many truth levels? Six? One hundred? Even more? Validating truthfulness of statements via crowdsourcing. CIKM 2018 Workshops, Torino, Italy, 22-26 October 2018. CEUR-WS.
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.
Supervision history
Current supervision
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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
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
Extreme Analytics
Associate Advisor
Other advisors: Associate Professor Stephen Viller, Dr Jarrod Knibbe, Dr Maxime Cordeil
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Doctor Philosophy
Critical Success Factors in Data Driven Value Creation
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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