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2022

Journal Article

Information resilience: the nexus of responsible and agile approaches to information use

Sadiq, Shazia, Aryani, Amir, Demartini, Gianluca, Hua, Wen, Indulska, Marta, Burton-Jones, Andrew, Khosravi, Hassan, Benavides-Prado, Diana, Sellis, Timos, Someh, Ida, Vaithianathan, Rhema, Wang, Sen and Zhou, Xiaofang (2022). Information resilience: the nexus of responsible and agile approaches to information use. The VLDB Journal, 31 (5), 1059-1084. doi: 10.1007/s00778-021-00720-2

Information resilience: the nexus of responsible and agile approaches to information use

2022

Conference Publication

A behavioural analysis of metadata use in evaluating the quality of repurposed data

Zhou, Hui, Han, Lei, Dermatini, Gianluca, Indulska, Marta and Sadiq, Shazia (2022). A behavioural analysis of metadata use in evaluating the quality of repurposed data. 41st International Conference on Conceptual Modeling, ER 2022, Hyderabad, India, 17-20 October 2022. Heidelberg, Germany: Springer International Publishing. doi: 10.1007/978-3-031-17995-2_22

A behavioural analysis of metadata use in evaluating the quality of repurposed data

2022

Conference Publication

BUM at CheckThat! 2022: a composite deep learning approach to fake news detection using evidence retrieval

La Barbera, David, Roitero, Kevin, Mackenzie, Joel, Spina, Damiano, Demartini, Gianluca and Mizzaro, Stefano (2022). BUM at CheckThat! 2022: a composite deep learning approach to fake news detection using evidence retrieval. CLEF 2022 – Conference and Labs of the Evaluation Forum,, Bologna, Italy, 5-8 September 2022. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V.

BUM at CheckThat! 2022: a composite deep learning approach to fake news detection using evidence retrieval

2021

Conference Publication

An Analysis of the Australian Political Discourse in Sponsored Social Media Content

Han, Lei, Sawant, Rudra, Fan, Shaoyang, Kefford, Glenn and Demartini, Gianluca (2021). An Analysis of the Australian Political Discourse in Sponsored Social Media Content. ADCS '21: Australasian Document Computing Symposium, Online, 9 December 2021. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3503516.3503533

An Analysis of the Australian Political Discourse in Sponsored Social Media Content

2021

Conference Publication

Hierarchical clustering of corals using image clustering

Sawant, Rudra, Demartini, Gianluca and Bridge, Tom (2021). Hierarchical clustering of corals using image clustering. ADCS '21: Proceedings of the 25th Australasian Document Computing Symposium, Online, 9 December 2021. New York, NY United States: ACM. doi: 10.1145/3503516.3503531

Hierarchical clustering of corals using image clustering

2021

Conference Publication

Iterative human-in-the-loop discovery of unknown unknowns in image datasets

Han, Lei, Dong, Xiao and Demartini, Gianluca (2021). Iterative human-in-the-loop discovery of unknown unknowns in image datasets. 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021), Online, 14-18 November 2021. Palo Alto, CA United States: AAAI Press. doi: 10.1609/hcomp.v9i1.18941

Iterative human-in-the-loop discovery of unknown unknowns in image datasets

2021

Journal Article

The many dimensions of truthfulness: crowdsourcing misinformation assessments on a multidimensional scale

Soprano, Michael, Roitero, Kevin, La Barbera, David, Ceolin, Davide, Spina, Damiano, Mizzaro, Stefano and Demartini, Gianluca (2021). The many dimensions of truthfulness: crowdsourcing misinformation assessments on a multidimensional scale. Information Processing and Management, 58 (6) 102710, 1-22. doi: 10.1016/j.ipm.2021.102710

The many dimensions of truthfulness: crowdsourcing misinformation assessments on a multidimensional scale

2021

Journal Article

On the state of reporting in crowdsourcing experiments and a checklist to aid current practices

Ramírez, Jorge, Sayin, Burcu, Baez, Marcos, Casati, Fabio, Cernuzzi, Luca, Benatallah, Boualem and Demartini, Gianluca (2021). On the state of reporting in crowdsourcing experiments and a checklist to aid current practices. Proceedings of the ACM on Human-Computer Interaction, 5 (CSCW2) 387, 1-34. doi: 10.1145/3479531

On the state of reporting in crowdsourcing experiments and a checklist to aid current practices

2021

Journal Article

Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19

Roitero, Kevin, Soprano, Michael, Portelli, Beatrice, De Luise, Massimiliano, Spina, Damiano, Mea, Vincenzo Della, Serra, Giuseppe, Mizzaro, Stefano and Demartini, Gianluca (2021). Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19. Personal and Ubiquitous Computing, 27 (1), 1-31. doi: 10.1007/s00779-021-01604-6

Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19

2021

Conference Publication

Loss-based active learning for named entity recognition

Linh, Le Thai, Nguyen, Minh-Tien, Zuccon, Guido and Demartini, Gianluca (2021). Loss-based active learning for named entity recognition. 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, 18-22 July, 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ijcnn52387.2021.9533675

Loss-based active learning for named entity recognition

2021

Conference Publication

Charting the design and analytics agenda of learnersourcing systems

Khosravi, Hassan, Demartini, Gianluca, Sadiq, Shazia and Gasevic, Dragan (2021). Charting the design and analytics agenda of learnersourcing systems. 11th International Learning Analytics and Knowledge Conference, Irvine, CA USA, April 2021. New York, NY, USA: ACM. doi: 10.1145/3448139.3448143

Charting the design and analytics agenda of learnersourcing systems

2021

Journal Article

Evaluating the quality of learning resources: a Learnersourcing approach

Abdi, Solmaz, Khosravi, Hassan, Sadiq, Shazia and Demartini, Gianluca (2021). Evaluating the quality of learning resources: a Learnersourcing approach. IEEE Transactions on Learning Technologies, 14 (1) 9353264, 81-92. doi: 10.1109/tlt.2021.3058644

Evaluating the quality of learning resources: a Learnersourcing approach

2021

Conference Publication

CoralExp: An Explainable System to Support Coral Taxonomy Research

Harding, Jaiden, Bridge, Tom and Demartini, Gianluca (2021). CoralExp: An Explainable System to Support Coral Taxonomy Research. 43rd European Conference on IR Research, ECIR 2021, Online, 28 March – 1 April 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-72240-1_55

CoralExp: An Explainable System to Support Coral Taxonomy Research

2020

Journal Article

Making AI Machines Work for Humans in FoW

Amer-Yahia, Sihem, Basu Roy, Senjuti, Chen, Lei, Morishima, Atsuyuki, Abello Monedero, James, Bourhis, Pierre, Charoy, François, Danilevsky, Marina, Das, Gautam, Demartini, Gianluca, Dubey, Abhishek, Elbassuoni, Shady, Gross-Amblard, David, Hoareau, Emilie, Inoguchi, Munenari, Kenworthy, Jared, Kitahara, Itaru, Lee, Dongwon, Li, Yunyao, Borromeo, Ria Mae, Papotti, Paolo, Rao, Raghav, Roy, Sudeepa, Senellart, Pierre, Tajima, Keishi, Thirumuruganathan, Saravanan, Tommasi, Marion, Umemoto, Kazutoshi, Wiggins, Andrea and Yoshida, Koichiro (2020). Making AI Machines Work for Humans in FoW. SIGMOD Record, 49 (2), 30-35. doi: 10.1145/3442322.3442327

Making AI Machines Work for Humans in FoW

2020

Conference Publication

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?

Roitero, Kevin, Soprano, Michael, Portelli, Beatrice, Spina, Damiano, Della Mea, Vincenzo, Serra, Giuseppe, Mizzaro, Stefano and Demartini, Gianluca (2020). The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?. 29th ACM International Conference on Information & Knowledge Management, Online, 19 - 23 October 2020. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3340531.3412048

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?

2020

Conference Publication

Modelling User Behavior Dynamics with Embeddings

Han, Lei, Checco, Alessandro, Difallah, Djellel, Demartini, Gianluca and Sadiq, Shazia (2020). Modelling User Behavior Dynamics with Embeddings. 29th ACM International Conference on Information & Knowledge Management, Online, 19-23 October 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3340531.3411985

Modelling User Behavior Dynamics with Embeddings

2020

Journal Article

Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and Opportunities

Demartini, Gianluca, Mizzaro, Stefano and Spina, Damiano (2020). Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and Opportunities. The Bulletin of the Technical Committee on Data Engineering, 65-74.

Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and Opportunities

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

A region selection model to identify unknown unknowns in image datasets

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

QuRVe: Query Refinement for View Recommendation in visual data exploration

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

Representation learning for entity type ranking