Gianluca Demartini

Short CV

Dr. Gianluca Demartini is a Professor and ARC Future Fellow at the University of Queensland, School of Electrical Engineering and Computer Science. His main research interests in Data Science are Information Retrieval, Semantic Web, and Human Computation. His research has been supported by the Australian Research Council (ARC), the Swiss National Science Foundation (SNSF), the EU H2020 framework program, the UK Engineering and Physical Sciences Research Council (EPSRC), Facebook, 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 and at the European Conference on Information Retrieval (ECIR) in 2016, the Best Short Paper Award at ECIR in 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 computer science venues such as WWW, ACM SIGIR, VLDBJ, ISWC, and ACM CHI.

Selected Awards

• 2023, Best Paper Award at the ACM SIGIR ICTIR 2023 conference. Top 1.4% of all submissions.
• 2021, “Methods Recognition” at the CSCW 2021 conference, intended to recognize significant methodological advances or prime examples of good methods implementation.
• 2021, Selected for the Google AI for Social Good "Impact Scholars" program.
• 2020, Best Short Paper Award at the ECIR 2020 conference. Top 0.6% of all submissions.
• 2020, Honorable Mention Award at the CSCW 2020 conference. Top 2% of all submissions.
• 2020, ACM Senior Member, 2020.
• 2018, Best Paper Award at the HCOMP 2018 conference. Top 1% of all submissions.
• 2016, Best Paper Award at the ECIR 2016 conference. Top 0.5% of all submissions.
• 2013, Shortlisted for the Best Research Paper award at the ISWC 2013 conference. Top 2% of all submissions.
• 2013, Selected for the 1st Heidelberg Laureate Forum, 2013. 10% acceptance rate.

Research Interests

Information Retrieval, Semantic Web, Human-in-the-loop Artificial Intelligence

Selected Publications

• Li, S., Han, L., & Demartini, G. (2025). Provoking critical thinking: Using counter-arguments in online discussion summarisation. Information Processing & Management, 62(6), 104258.
• Faggioli, G., Dietz, L., Clarke, C. L., Demartini, G., Hagen, M., Hauff, C., ... & Wachsmuth, H. (2024). Who determines what is relevant? Humans or AI? Why not both?. Communications of the ACM, 67(4), 31-34.
• Soprano, M., Roitero, K., La Barbera, D., Ceolin, D., Spina, D., Demartini, G., & Mizzaro, S. (2024). Cognitive biases in fact-checking and their countermeasures: A review. Information Processing & Management, 61(3), 103672.
• Spina, D., Sanderson, M., Angus, D., Demartini, G., Mckay, D., Saling, L. L., & White, R. W. (2023). Human-AI cooperation to tackle misinformation and polarization. Communications of the ACM, 66(7), 40-45.
• Demartini, G., Roitero, K., & Mizzaro, S. (2023, January). Data bias management. Communications of the ACM, 67(1), 28-32.
• Saeed, M., Traub, N., Nicolas, M., Demartini, G., & Papotti, P. (2022, October). Crowdsourced fact-checking at Twitter: How does the crowd compare with experts?. In Proceedings of the 31st ACM international conference on information & knowledge management (pp. 1736-1746).
• Soprano, M., Roitero, K., La Barbera, D., Ceolin, D., Spina, D., Mizzaro, S., & Demartini, G. (2021). The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale. Information Processing & Management, 58(6), 102710.
• Difallah, D. E., Catasta, M., Demartini, G., Ipeirotis, P. G., & Cudré-Mauroux, P. (2015, May). The dynamics of micro-task crowdsourcing: The case of amazon mturk. In Proceedings of the 24th international conference on world wide web (pp. 238-247).
• Gadiraju, U., Kawase, R., Dietze, S., & Demartini, G. (2015, April). Understanding malicious behavior in crowdsourcing platforms: The case of online surveys. In Proceedings of the 33rd annual ACM conference on human factors in computing systems (pp. 1631-1640).
• Demartini, G., Difallah, D. E., & Cudré-Mauroux, P. (2012, April). Zencrowd: leveraging probabilistic reasoning and crowdsourcing techniques for large-scale entity linking. In Proceedings of the 21st international conference on World Wide Web (pp. 469-478).