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2025

Journal Article

Running with data: a survey of the current research and a design exploration of future immersive visualisations

Li, Ang, Perin, Charles, Demartini, Gianluca, Viller, Stephen, Knibbe, Jarrod and Cordei, Maxime (2025). Running with data: a survey of the current research and a design exploration of future immersive visualisations. IEEE Transactions on Visualization and Computer Graphics, 32 (1), 1076-1086. doi: 10.1109/tvcg.2025.3634631

Running with data: a survey of the current research and a design exploration of future immersive visualisations

2025

Journal Article

Natural language processing for the legal domain: a survey of tasks, datasets, models, and challenges

Ariai, Farid, Mackenzie, Joel and Demartini, Gianluca (2025). Natural language processing for the legal domain: a survey of tasks, datasets, models, and challenges. ACM Computing Surveys, 58 (6) 163, 1-37. doi: 10.1145/3777009

Natural language processing for the legal domain: a survey of tasks, datasets, models, and challenges

2025

Journal Article

Provoking critical thinking: using counter-arguments in online discussion summarisation

Li, Shangqian, Han, Lei and Demartini, Gianluca (2025). Provoking critical thinking: using counter-arguments in online discussion summarisation. Information Processing and Management, 62 (6) 104258, 1-18. doi: 10.1016/j.ipm.2025.104258

Provoking critical thinking: using counter-arguments in online discussion summarisation

2025

Journal Article

Enhancing media literacy: the effectiveness of (Human) annotations and bias visualizations on bias detection

Spinde, Timo, Wu, Fei, Gaissmaier, Wolfgang, Demartini, Gianluca, Echizen, Isao and Giese, Helge (2025). Enhancing media literacy: the effectiveness of (Human) annotations and bias visualizations on bias detection. Information Processing and Management, 62 (6) 104244. doi: 10.1016/j.ipm.2025.104244

Enhancing media literacy: the effectiveness of (Human) annotations and bias visualizations on bias detection

2025

Conference Publication

Exploring Wikipedia gender diversity over time — The Wikipedia Gender Dashboard (WGD)

Yunus, Yahya, Chen, Tianwa and Demartini, Gianluca (2025). Exploring Wikipedia gender diversity over time — The Wikipedia Gender Dashboard (WGD). WWW'25, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3715175

Exploring Wikipedia gender diversity over time — The Wikipedia Gender Dashboard (WGD)

2025

Journal Article

The interaction between emotion dynamics and opinion changes in the era of generative AI

Li, Shangqian, Fan, Shaoyang and Demartini, Gianluca (2025). The interaction between emotion dynamics and opinion changes in the era of generative AI. Computers in Human Behavior Reports, 19 100722, 1-18. doi: 10.1016/j.chbr.2025.100722

The interaction between emotion dynamics and opinion changes in the era of generative AI

2025

Conference Publication

Preaching to the ChoIR: lessons IR should share with AI

Demartini, Gianluca, Hauff, Claudia, Lease, Matthew, Mizzaro, Stefano, Roitero, Kevin, Sanderson, Mark, Scholer, Falk, Shah, Chirag, Spina, Damiano, Thomas, Paul, de Vries, Arjen P. and Zuccon, Guido (2025). Preaching to the ChoIR: lessons IR should share with AI. ICTIR '25: International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval, Padua, Italy, 18 July 2025. New York, NY USA: ACM. doi: 10.1145/3731120.3744612

Preaching to the ChoIR: lessons IR should share with AI

2025

Conference Publication

How do experts make sense of integrated process models?

Chen, Tianwa, Weber, Barbara, Shanks, Graeme, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2025). How do experts make sense of integrated process models?. 37th International Conference, CAiSE 2025, Vienna, Austria, 16-20 June 2025. Cham, Switzerland: Springer Switzerland. doi: 10.1007/978-3-031-94571-7_1

How do experts make sense of integrated process models?

2025

Conference Publication

LLM-Based Semantic Augmentation for Harmful Content Detection

Meguellati, Elyas, Zeghina, Assaad, Sadiq, Shazia and Demartini, Gianluca (2025). LLM-Based Semantic Augmentation for Harmful Content Detection. 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.v19i1.35868

LLM-Based Semantic Augmentation for Harmful Content Detection

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

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

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

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

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

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, 26 April - 1 May2025. New York, NY, United States: Association for Computing Machinery. 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, United States: Association for Computing Machinery. doi: 10.1145/3712716.3712719

Fast synthetic data generation for case-specific entity extraction in criminal investigations