Skip to menu Skip to content Skip to footer

2023

Conference Publication

Human-in-the-loop regular expression extraction for single column format inconsistency

Yu, Shaochen, Han, Lei, Indulska, Marta, Sadiq, Shazia and Demartini, Gianluca (2023). Human-in-the-loop regular expression extraction for single column format inconsistency. WWW '23: ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, United States: Association for Computing Machinery. doi: 10.1145/3543507.3583515

Human-in-the-loop regular expression extraction for single column format inconsistency

2023

Conference Publication

The community notes observatory: can crowdsourced fact-checking be trusted in practice?

Righes, Luca, Saeed, Mohammed, Demartini, Gianluca and Papotti, Paolo (2023). The community notes observatory: can crowdsourced fact-checking be trusted in practice?. WW '23 Companion: ACM Web Conference 2023, Austin, TX, United States, 30 April - 4 May 2023. New York, NY, United States: ACM. doi: 10.1145/3543873.3587340

The community notes observatory: can crowdsourced fact-checking be trusted in practice?

2023

Conference Publication

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition

Le, Linh, Zuccon, Guido, Demartini, Gianluca, Zhao, Genghong and Zhang, Xia (2023). Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition. AMIA 2022 Annual Symposium, Washington, DC United States, 5-9 November 2022. Bethesda, MD United States: American Medical Informatics Association.

Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition

2022

Conference Publication

Automatic identification of 5C vaccine behaviour on social media

Sampath Kumar, Ajay Hemanth, Shausan, Aminath, Demartini, Gianluca and Rahimi, Afshin (2022). Automatic identification of 5C vaccine behaviour on social media. Eighth Workshop on Noisy User-generated Text (W-NUT 2022), Gyeongju, Republic of Korea, 12-17 October 2022. Gyeongju, Republic of Korea: International Conference on Computational Linguistics.

Automatic identification of 5C vaccine behaviour on social media

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

Conference Publication

Workshop on human-in-the-loop data curation

Demartini, Gianluca, Yang, Jie and Sadiq, Shazia (2022). Workshop on human-in-the-loop data curation. 31st ACM International Conference on Information and Knowledge Management, Atlanta, GA, United States, 17-21 October 2022. New York, NY, United States: ACM. doi: 10.1145/3511808.3557498

Workshop on human-in-the-loop data curation

2022

Conference Publication

How does the crowd impact the model? A tool for raising awareness of social bias in crowdsourced training data

Perikleous, Periklis, Kafkalias, Andreas, Theodosiou, Zenonas, Barlas, Pinar, Christoforou, Evgenia, Otterbacher, Jahna, Demartini, Gianluca and Lanitis, Andreas (2022). How does the crowd impact the model? A tool for raising awareness of social bias in crowdsourced training data. 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, United States, 17-22 October 2022. New York, NY, United States: ACM. doi: 10.1145/3511808.3557178

How does the crowd impact the model? A tool for raising awareness of social bias in crowdsourced training data

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

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. 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

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

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

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

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

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

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