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2025

Conference Publication

Perception of Visual Content: Differences Between Humans and Foundation Models

Pratama, Nardiena A., Fan, Shaoyang and Demartini, Gianluca (2025). Perception of Visual Content: Differences Between Humans and Foundation Models. Nineteenth International AAAI Conference on Web and Social Media, Copenhagen, Denmark, 23-26 June 2025. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v19i1.35891

Perception of Visual Content: Differences Between Humans and Foundation Models

2025

Journal Article

Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025)

Trippas, Johanne R., Culpepper, J. Shane, Aliannejadi, Mohammad, Allan, James, Amigó, Enrique, Arguello, Jaime, Azzopardi, Leif, Bailey, Peter, Callan, Jamie, Capra, Rob, Craswell, Nick, Croft, Bruce, Dalton, Jeff, Demartini, Gianluca, Dietz, Laura, Dou, Zhicheng, Eickhoff, Carsten, Ekstrand, Michael, Ferro, Nicola, Fuhr, Norbert, Glowacka, Dorota, Hasibi, Faegheh, Hettiachchi, Danula, Jones, Rosie, Kamps, Jaap, Kando, Noriko, Karimi, Sarvnaz, Kato, Makoto P., Koopman, Bevan ... Zuccon, Guido (2025). Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025). ACM SIGIR Forum, 59 (1), 1-68. doi: 10.1145/3769733.3769739

Report from the 4th Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025)

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

Embedded and situated visualisation in mixed reality to support interval running

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

Enhancing peer feedback provision through user interface scaffolding: A comparative examination of scripting and self-monitoring techniques

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

The Impact of Persona-based Political Perspectives on Hateful Content Detection

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

Mapping and influencing the political ideology of large language models using synthetic personas

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

Bias in Humans and AI - What To Do About It?

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

Are Large Language Models Good Data Preprocessors?

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. ACM Web Conference 2025 (WWW'25), Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715169

BiasNavi: LLM-Empowered Data Bias Management

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

Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant

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

Fast Synthetic Data Generation for Case-Specific Entity Extraction in Criminal Investigations

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, 1-10. doi: 10.1093/police/paaf005

Information analysis in criminal investigations: methods, challenges, and computational opportunities processing unstructured text

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

Crowdsourcing or AI-sourcing?

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).

Enhancing Criminal Investigation Analysis with Summarization and Memory-based Retrieval-Augmented Generation: A Comprehensive Evaluation of Real Case Data

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

Correction to: The Semantic Web – ISWC 2024

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

Optimizing LLMs with direct preferences: a data efficiency perspective

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.

Influence of metadata on quality evaluation of unstructured information artefacts

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

Multimodal Entity Linking Evaluation Dataset for Art (Version 3.0)

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

Crowdsourced fact-checking: does it actually work?

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

Hate speech detection with generalizable target-aware fairness