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2022

Conference Publication

Crowdsourced fact-checking at Twitter : how does the crowd compare with experts?

Saeed, Mohammed, Traub, Nicolas, Nicolas, Maelle, Demartini, Gianluca and Papotti, Paolo (2022). Crowdsourced fact-checking at Twitter : how does the crowd compare with experts?. 31st ACM International Conference on Information & Knowledge, Atlanta, GA USA, 17-21 October 2022. New York, NY, USA: ACM. doi: 10.1145/3511808.3557279

Crowdsourced fact-checking at Twitter : how does the crowd compare with experts?

2022

Journal Article

Analytics of learning tactics and strategies in an online learnersourcing environment

Lahza, Hatim, Khosravi, Hassan and Demartini, Gianluca (2022). Analytics of learning tactics and strategies in an online learnersourcing environment. Journal of Computer Assisted Learning, 39 (1), 94-112. doi: 10.1111/jcal.12729

Analytics of learning tactics and strategies in an online learnersourcing environment

2022

Conference Publication

Incorporating AI and Analytics to Derive Insights from E-exam Logs

Lahza, Hatim Fareed, Khosravi, Hassan and Demartini, Gianluca (2022). Incorporating AI and Analytics to Derive Insights from E-exam Logs. 23rd International Conference of Artificial Intelligence in Education AIED 2022, Durham, United Kingdom, 27–31 July 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-11644-5_78

Incorporating AI and Analytics to Derive Insights from E-exam Logs

2022

Journal Article

A neural model to jointly predict and explain truthfulness of statements

Brand, Erik, Roitero, Kevin, Soprano, Michael, Rahimi, Afshin and Demartini, Gianluca (2022). A neural model to jointly predict and explain truthfulness of statements. Journal of Data and Information Quality, 15 (1) 4, 1-19. doi: 10.1145/3546917

A neural model to jointly predict and explain truthfulness of statements

2022

Conference Publication

Socio-economic diversity in human annotations

Fan, Shaoyang, Barlas, Pinar, Christoforou, Evgenia, Otterbacher, Jahna, Sadiq, Shazia and Demartini, Gianluca (2022). Socio-economic diversity in human annotations. WebSci '22: 14th ACM Web Science Conference 2022, Barcelona, Spain, 26-29 June 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3501247.3531588

Socio-economic diversity in human annotations

2022

Conference Publication

Exploring data literacy levels in the crowd – the case of COVID-19

Fan, Shaoyang, Han, Lei, Demartini, Gianluca and Sadiq, Shazia (2022). Exploring data literacy levels in the crowd – the case of COVID-19. The 16th International AAAI Conference on Web and Social Media, Atlanta, GA United States, 6-9 June 2022. Palo Alto, CA United States: AAAI Press.

Exploring data literacy levels in the crowd – the case of COVID-19

2022

Conference Publication

Exploring data literacy levels in the crowd – the case of COVID-19

Fan, Shaoyang, Han, Lei, Demartini, Gianluca and Sadiq, Shazia (2022). Exploring data literacy levels in the crowd – the case of COVID-19. Sixteenth International AAAI Conference on Web and Social Media, Atlanta, GA United States, 6–9 June 2022. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v16i1.19395

Exploring data literacy levels in the crowd – the case of COVID-19

2022

Conference Publication

Understanding reactions to swine flu, Ebola, and the Zika virus using Twitter data: an outlook for future infectious disease outbreaks

Ahmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2022). Understanding reactions to swine flu, Ebola, and the Zika virus using Twitter data: an outlook for future infectious disease outbreaks. 18th International Symposium on Health Information Management Research, Kalmar, Sweden, 17-18 October 2020. Växjö, Sweden: Linnaeus University Press. doi: 10.15626/ishimr.2020.04

Understanding reactions to swine flu, Ebola, and the Zika virus using Twitter data: an outlook for future infectious disease outbreaks

2022

Book Chapter

Artificial intelligence needs human intervention to combat online hate

Demartini, Gianluca and Wilson-Barnao, Caroline (2022). Artificial intelligence needs human intervention to combat online hate. Conflict in My Outlook. (pp. 1-30) edited by Anna Briers, Nicholas Carah and Holly Arden. Melbourne, VIC Australia: Perimiter.

Artificial intelligence needs human intervention to combat online hate

2022

Conference Publication

Does evidence from peers help crowd workers in assessing truthfulness?

Xu, Jiechen, Han, Lei, Fan, Shaoyang, Sadiq, Shazia and Demartini, Gianluca (2022). Does evidence from peers help crowd workers in assessing truthfulness?. WWW '22: The ACM Web Conference 2022, Online, 25 - 29 April, 2022. New York, NY, United States: ACM. doi: 10.1145/3487553.3524236

Does evidence from peers help crowd workers in assessing truthfulness?

2022

Conference Publication

Evaluating the quality of repurposed data – the role of metadata

Zhou, Hui, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2022). Evaluating the quality of repurposed data – the role of metadata. 32nd Australasian Conference on Information Systems (ACIS), Wellington, New Zealand, 1-4 December 2020. Atlanta, GA USA: Association for Information Systems.

Evaluating the quality of repurposed data – the role of metadata

2022

Conference Publication

Effects of technological interventions for self-regulation: a control experiment in learnersourcing

Lahza, Hatim, Khosravi, Hassan, Demartini, Gianluca and Gasevic, Dragan (2022). Effects of technological interventions for self-regulation: a control experiment in learnersourcing. LAK22: 12th International Learning Analytics and Knowledge Conference, Virtual, United States, 21 - 25 March 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3506860.3506911

Effects of technological interventions for self-regulation: a control experiment in learnersourcing

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

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

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

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