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Professor Gianluca Demartini
Professor

Gianluca Demartini

Email: 
Phone: 
+61 7 336 58325

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

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

225 works between 2006 and 2025

121 - 140 of 225 works

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

The Impact of Task Abandonment in Crowdsourcing

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

Health cards for consumer health search

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.

How many truth levels? Six? One hundred? Even more? Validating truthfulness of statements via crowdsourcing

2018

Journal Article

Crowd Anatomy Beyond the Good and Bad: Behavioral Traces for Crowd Worker Modeling and Pre-selection

Gadiraju, Ujwal, Demartini, Gianluca, Kawase, Ricardo and Dietze, Stefan (2018). Crowd Anatomy Beyond the Good and Bad: Behavioral Traces for Crowd Worker Modeling and Pre-selection. Computer Supported Cooperative Work: CSCW: An International Journal, 28 (5), 1-27. doi: 10.1007/s10606-018-9336-y

Crowd Anatomy Beyond the Good and Bad: Behavioral Traces for Crowd Worker Modeling and Pre-selection

2018

Conference Publication

All That Glitters Is Gold — An Attack Scheme on Gold Questions in Crowdsourcing

Checco, Alessandro, Bates, Jo and Demartini, Gianluca (2018). All That Glitters Is Gold — An Attack Scheme on Gold Questions in Crowdsourcing. 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.v6i1.13332

All That Glitters Is Gold — An Attack Scheme on Gold Questions in Crowdsourcing

2018

Journal Article

Augmenting Intelligence with Humans-in-the-Loop (HumL@WWW2018) Chairs’ Welcome

Aroyo, Lora, Demartini, Gianluca, Gentile, Anna Lisa and Welty, Chris (2018). Augmenting Intelligence with Humans-in-the-Loop (HumL@WWW2018) Chairs’ Welcome. The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018, 2018-January, 1099-1100. doi: 10.1145/3184558.3192303

Augmenting Intelligence with Humans-in-the-Loop (HumL@WWW2018) Chairs’ Welcome

2018

Conference Publication

All that glitters is gold -- An attack scheme on gold questions in crowdsourcing

Checco, Alessandro, Bates, Jo and Demartini, Gianluca (2018). All that glitters is gold -- An attack scheme on gold questions in crowdsourcing. The 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), Zurich, Switzerland, July 5–8 2018. Palo Alto, CA, United States: AAAI Press.

All that glitters is gold -- An attack scheme on gold questions in crowdsourcing

2018

Conference Publication

On the volatility of commercial search engines and its impact on information retrieval research

Jimmy, Zuccon, Guido and Demartini, Gianluca (2018). On the volatility of commercial search engines and its impact on information retrieval research. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210088

On the volatility of commercial search engines and its impact on information retrieval research

2018

Conference Publication

Can user behaviour sequences reflect perceived novelty?

Zhuang, Mengdie, Toms, Elaine G. and Demartini, Gianluca (2018). Can user behaviour sequences reflect perceived novelty?. 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22 - 26, 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3269206.3269243

Can user behaviour sequences reflect perceived novelty?

2018

Journal Article

Augmenting intelligence with humansintheloop

Gentile, Anna Lisa, Aroyo, Lora, Demartini, Gianluca and Welty, Chris (2018). Augmenting intelligence with humansintheloop. CEUR Workshop Proceedings, 2169

Augmenting intelligence with humansintheloop

2018

Conference Publication

Measuring the effect of public health campaigns on twitter: The case of world autism awareness day

Ahmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2018). Measuring the effect of public health campaigns on twitter: The case of world autism awareness day. 13th International Conference on Transforming Digital Worlds, iConference 2018, Sheffield, U.K., March 25-28, 2018. CHAM: Springer Verlag. doi: 10.1007/978-3-319-78105-1_2

Measuring the effect of public health campaigns on twitter: The case of world autism awareness day

2018

Book Chapter

Using Twitter as a data source: an overview of ethical, legal, and methodological challenges

Ahmed, Wasim, Bath, Peter A. and Demartini, Gianluca (2018). Using Twitter as a data source: an overview of ethical, legal, and methodological challenges. The ethics of online research. (pp. 79-107) edited by Kandy Woodfield. Bingley, United Kingdom: Emerald Publishing . doi: 10.1108/s2398-601820180000002004

Using Twitter as a data source: an overview of ethical, legal, and methodological challenges

2018

Conference Publication

On fine-grained relevance scales

Roitero, Kevin, Maddalena, Eddy, Demartini, Gianluca and Mizzaro, Stefano (2018). On fine-grained relevance scales. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210052

On fine-grained relevance scales

2018

Conference Publication

Investigating user perception of gender bias in image search: the role of sexism

Otterbacher, Jahna, Checco, Alessandro, Demartini, Gianluca and Clough, Paul (2018). Investigating user perception of gender bias in image search: the role of sexism. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210094

Investigating user perception of gender bias in image search: the role of sexism

2018

Conference Publication

Moral panic through the lens of Twitter: an analysis of infectious disease outbreaks

Ahmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2018). Moral panic through the lens of Twitter: an analysis of infectious disease outbreaks. 9th International Conference on Social Media and Society, SMSociety 2018, Copenhagen, Denmark, 18-20 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3217804.3217915

Moral panic through the lens of Twitter: an analysis of infectious disease outbreaks

2017

Journal Article

An introduction to hybrid human-machine information systems

Demartini, Gianluca, Difallah, Djellel Eddine, Gadiraju, Ujwal and Catasta, Michele (2017). An introduction to hybrid human-machine information systems. Foundations and Trends in Web Science, 7 (1), 1-87. doi: 10.1561/1800000025

An introduction to hybrid human-machine information systems

2017

Conference Publication

Considering assessor agreement in IR evaluation

Maddalena, Eddy, Roitero, Kevin, Demartini, Gianluca and Mizzaro, Stefano (2017). Considering assessor agreement in IR evaluation. ICTIR 2017 - Proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieva, Amsterdam, Netherlands, 1-4 October 2017. New York, NY USA: ACM Press. doi: 10.1145/3121050.3121060

Considering assessor agreement in IR evaluation

2017

Journal Article

Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing

Checco, Alessandro, Roitero, Kevin, Maddalena, Eddy, Mizzaro, Stefano and Demartini, Gianluca (2017). Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 5, 11-20. doi: 10.1609/hcomp.v5i1.13306

Let's Agree to Disagree: Fixing Agreement Measures for Crowdsourcing

2017

Journal Article

Modus Operandi of Crowd Workers : The Invisible Role of Microtask Work Environments

Gadiraju, Ujwal, Checco, Alessandro, Gupta, Neha and Demartini, Gianluca (2017). Modus Operandi of Crowd Workers : The Invisible Role of Microtask Work Environments. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1 (3), 1-29. doi: 10.1145/3130914

Modus Operandi of Crowd Workers : The Invisible Role of Microtask Work Environments

2017

Conference Publication

Understanding engagement through search behaviour

Zhuang, Mengdie, Demartini, Gianluca and Toms, Elaine G. (2017). Understanding engagement through search behaviour. 26th ACM International Conference on Information and Knowledge Management, CIKM 2017, Singapore, Singapore, 06 - 10 November 2017. New York, New York, United States: Association for Computing Machinery. doi: 10.1145/3132847.3132978

Understanding engagement through search behaviour

Funding

Current funding

  • 2025 - 2028
    PBIAS: A Principled Approach to Data Bias Management in Data Pipelines
    ARC Future Fellowships
    Open grant
  • 2022 - 2025
    Large-Scale Political Participation: Issue Identification, Deliberation, and Co-creation (Swiss National Science Foundation grant administered by Universität Zürich)
    University of Zurich
    Open grant
  • 2021 - 2026
    ARC Training Centre for Information Resilience
    ARC Industrial Transformation Training Centres
    Open grant

Past funding

  • 2023 - 2024
    Measuring the Gender Gap: Attribute-based Class Completeness Estimation
    Wikimedia Foundation (US)
    Open grant
  • 2022 - 2024
    Human-in-the-loop Natural Language Processing in GLAM
    Universities Australia - Germany Joint Research Co-operation Scheme
    Open grant
  • 2022 - 2023
    Monitoring and Modeling Human Annotator Behaviors in Mephisto
    Meta AI Mephisto Dataset Collection Tool
    Open grant
  • 2021 - 2023
    Human-in-the-loop Chimpanzee Identification
    Google AI for Social Good
    Open grant
  • 2019 - 2022
    DESCANT : DEtecting Stereotypes in human ComputAtioN Tasks
    CYENS Centre of Excellence
    Open grant
  • 2019 - 2024
    Crowdsourcing an Online Safety Benchmark for Fake News Identification
    Facebook Online Safety Benchmark Research Award
    Open grant
  • 2019 - 2024
    Building crowd sourced data curation processes
    ARC Discovery Projects
    Open grant
  • 2019
    Artificial Intelligence with Humans in the Loop
    UQ Early Career Researcher
    Open grant
  • 2019 - 2022
    Collaborative Lab of Health Informatics with Neusoft
    Neusoft Research of Intelligent Healthcare Technology, Co Ltd
    Open grant

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

    Customer Data Stories

    Principal Advisor

    Other advisors: Professor Shazia Sadiq

  • Doctor Philosophy

    Human in the Loop Decision Systems for Online Safety

    Principal Advisor

    Other advisors: Professor Tim Miller

  • Master Philosophy

    Online discussion summarisation and interaction

    Principal Advisor

    Other advisors: Dr Joel Mackenzie

  • Doctor Philosophy

    Human-Centred Artificial Intelligence for Democracy

    Principal Advisor

    Other advisors: Dr Joel Mackenzie

  • Doctor Philosophy

    Bias Mitigation in Human in the Loop Decision Systems

    Principal Advisor

    Other advisors: Professor Shazia Sadiq

  • Doctor Philosophy

    Bias in Data Pipelines and AI Systems

    Principal Advisor

  • Doctor Philosophy

    Human-centered Artificial Intelligence for Democracy

    Principal Advisor

  • Doctor Philosophy

    Extreme Analytics

    Associate Advisor

    Other advisors: Associate Professor Stephen Viller, Dr Jarrod Knibbe, Dr Maxime Cordeil

  • Doctor Philosophy

    Critical Success Factors in Data Driven Value Creation

    Associate Advisor

    Other advisors: Professor Marta Indulska, Professor Shazia Sadiq

Completed supervision

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:

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