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2021 Journal Article Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19Roitero, 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 |
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2021 Conference Publication Loss-based active learning for named entity recognitionLinh, 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 |
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2021 Conference Publication Charting the design and analytics agenda of learnersourcing systemsKhosravi, 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 |
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2021 Journal Article Evaluating the quality of learning resources: a Learnersourcing approachAbdi, 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 |
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2021 Conference Publication CoralExp: An Explainable System to Support Coral Taxonomy ResearchHarding, 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 |
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2020 Journal Article Making AI Machines Work for Humans in FoWAmer-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 |
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2020 Conference Publication Modelling User Behavior Dynamics with EmbeddingsHan, 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 |
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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 |
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2020 Journal Article Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and OpportunitiesDemartini, 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. |
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2020 Conference Publication A region selection model to identify unknown unknowns in image datasetsDong, 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 |
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2020 Conference Publication QuRVe: Query Refinement for View Recommendation in visual data explorationEhsan, 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 |
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2020 Conference Publication Representation learning for entity type rankingRahman, 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 |
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2020 Conference Publication Zika outbreak of 2016: insights from twitterAhmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2020). Zika outbreak of 2016: insights from twitter. International Conference on Human-Computer Interaction, Copenhagen, Denmark, 19-24 July 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-49576-3_32 |
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2020 Conference Publication Crowdsourcing truthfulness: the impact of judgment scale and assessor biasLa Barbera, David, Roitero, Kevin, Demartini, Gianluca, Mizzaro, Stefano and Spina, Damiano (2020). Crowdsourcing truthfulness: the impact of judgment scale and assessor bias. European Conference on Information Retrieval, Lisbon, Portugal, 14-17 April 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-45442-5_26 |
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2020 Conference Publication Crowd worker strategies in relevance judgment tasksHan, Lei, Maddalena, Eddy, Checco, Alessandro, Sarasua, Cristina, Gadiraju, Ujwal, Roitero, Kevin and Demartini, Gianluca (2020). Crowd worker strategies in relevance judgment tasks. 13th International Conference on Web Search and Data Mining, Houston, Texas, 3-7 February 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3336191.3371857 |
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2020 Conference Publication Building data curation processes with crowd intelligenceChen, Tianwa, Han, Lei, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). Building data curation processes with crowd intelligence. CAiSE Forum 2020: Advanced Information Systems Engineering, Grenoble, France, 8 – 12 June 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-58135-0_3 |
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2019 Conference Publication Platform-Related Factors in Repeatability and Reproducibility of Crowdsourcing TasksQarout, Rehab, Checco, Alessandro, Demartini, Gianluca and Bontcheva, Kalina (2019). Platform-Related Factors in Repeatability and Reproducibility of Crowdsourcing Tasks. Seventh AAAI Conference on Human Computation and Crowdsourcing, Stevenson, WA United States, 28-30 October 2019. Washington, DC United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/hcomp.v7i1.5264 |
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2019 Journal Article The evolution of power and standard wikidata editors: comparing editing behavior over time to predict lifespan and volume of editsSarasua, Cristina, Checco, Alessandro, Demartini, Gianluca, Difallah, Djellel, Feldman, Michael and Pintscher, Lydia (2019). The evolution of power and standard wikidata editors: comparing editing behavior over time to predict lifespan and volume of edits. Computer Supported Cooperative Work: CSCW: An International Journal, 28 (5), 843-882. doi: 10.1007/s10606-018-9344-y |
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2019 Journal Article Health cards to assist decision making in consumer health searchJimmy, , Zuccon, Guido, Demartini, Gianluca and Koopman, Bevan (2019). Health cards to assist decision making in consumer health search. AMIA Annual Symposium. Proceedings, 2019, 1091-1100. |
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2019 Journal Article Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter dataAhmed, Wasim, Bath, Peter A., Sbaffi, Laura and Demartini, Gianluca (2019). Novel insights into views towards H1N1 during the 2009 Pandemic: a thematic analysis of Twitter data. Health Information and Libraries Journal, 36 (1), 60-72. doi: 10.1111/hir.12247 |
