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2024 Conference Publication CoLAL: Co-learning active learning for text classificationLe, Linh, Zhao, Genghong, Zhang, Xia, Zuccon, Guido and Demartini, Gianluca (2024). CoLAL: Co-learning active learning for text classification. Thirty-Eighth AAAI Conference on Artificial Intelligence, Vancouver, BC Canada, 20–27 February 2024. Washington, DC United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i12.29235 |
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2022 Conference Publication Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgmentsRoitero, Kevin, Checco, Alessandro, Mizzaro, Stefano and Demartini, Gianluca (2022). Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments. ACM Web Conference, Virtual/Lyon, France, 25-29 April 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3485447.3511960 |
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2020 Conference Publication Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's backgroundRoitero, Kevin, Soprano, Michael, Fan, Shaoyang, Spina, Damiano, Mizzaro, Stefano and Demartini, Gianluca (2020). Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, China, 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401112 |
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2020 Conference Publication On understanding data worker interaction behaviorsHan, Lei, Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2020). On understanding data worker interaction behaviors. SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval, Virtual Event China, July 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401059 |
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2019 Conference Publication Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training dataYang, Jie, Demartini, Gianluca, Smirnova, Alisa, Lu, Yuan, Yang, Dingqi and Cudré-Mauroux, Philippe (2019). Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data. World Wide Web Conference (WWW), San Francisco, CA, United States, 13-17 May 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3308558.3313599 |
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2015 Conference Publication The dynamics of micro-task crowdsourcing: the case of amazon MTurkDifallah, Djellel Eddine, Catasta, Michele, Demartini, Gianluca, Ipeirotis, Panagiotis G. and Cudré-Mauroux, Philippe (2015). The dynamics of micro-task crowdsourcing: the case of amazon MTurk. 24th International Conference on World Wide Web, WWW 2015, Florence, Italy, 18 - 22 May 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2736277.2741685 |
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2015 Conference Publication Understanding malicious behavior in crowdsourcing platforms: the case of online surveysGadiraju, Ujwal, Kawase, Ricardo, Dietze, Stefan and Demartini, Gianluca (2015). Understanding malicious behavior in crowdsourcing platforms: the case of online surveys. 33rd Annual CHI Conference on Human Factors in Computing Systems - CHI'15, Seoul, South Korea, 18 - 23 April 2015. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2702123.2702443 |
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2026 Conference Publication Easy to read, easy to trust: how processing fluency in LLM explanations drives over-reliance in hate speech moderationTuo, Bing, Miller, Tim and Demartini, Gianluca (2026). Easy to read, easy to trust: how processing fluency in LLM explanations drives over-reliance in hate speech moderation. HCOMP 2026: 2026 ACM Conference on Human-AI Complementarity and Alignment, Alexandria VA USA, 27-30 September 2026. New York, NY, United States: ACM (Association for Computing Machinery). doi: 10.1145/3834580.3838739 |
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2026 Conference Publication Political advertising on Facebook During the 2022 Australian federal election: a social identity perspectiveCivelli, Stefano, Bernardelle, Pietro, Mols, Frank and Demartini, Gianluca (2026). Political advertising on Facebook During the 2022 Australian federal election: a social identity perspective. Twentieth International AAAI Conference on Web and Social Media, Los Angeles, CA United States, 27-29 May 2026. Washington, DC United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/icwsm.v20i1.42654 |
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2026 Conference Publication Towards detecting persuasion on social media: from model development to insights on persuasion strategiesMeguellati, Elyas, Civelli, Stefano, Bernardelle, Pietro, Sadiq, Shazia, King, Irwin and Demartini, Gianluca (2026). Towards detecting persuasion on social media: from model development to insights on persuasion strategies. Twentieth International AAAI Conference on Web and Social Media, Los Angeles, CA, United States, 27-29 May 2026. Washington, DC, United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v20i1.42714 |
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2026 Conference Publication APD: Ad persuasion dashboard — Insights into Facebook political campaign strategiesMeguellati, Elyas, Civelli, Stefano, Sadiq, Shazia and Demartini, Gianluca (2026). APD: Ad persuasion dashboard — Insights into Facebook political campaign strategies. Twentieth International AAAI Conference on Web and Social Media, Los Angeles, CA, United States, 27-29 May 2026. Washington, DC, United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v20i1.42807 |
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2026 Conference Publication Subdata: bridging heterogeneous datasets to enable theory-driven evaluation of political and demographic perspectives in LLMSBernardelle, Pietro, Froehling, Leon, Civelli, Stefano and Demartini, Gianluca (2026). Subdata: bridging heterogeneous datasets to enable theory-driven evaluation of political and demographic perspectives in LLMS. The fifth edition of the Workshop on Perspectivist Approaches to NLP (NLPerspectives 2026), Palma, Spain, 11 - 16 May 2026. Paris, France: European Language Resources Association (ELRA). doi: 10.63317/2uppkbro3uvq |
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2026 Conference Publication Large language models as assessors: on the impact of relevance scalesZamolo, Riccardo, Lunardi, Riccardo, Soprano, Michael, Demartini, Gianluca, Mizzaro, Stefano and Roitero, Kevin (2026). Large language models as assessors: on the impact of relevance scales. 48th European Conference on Information Retrieval, Delft, The Netherlands, 29 March-2 April 2026. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-032-21300-6_24 |
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2026 Conference Publication A shared geometry of difficulty in multilingual language modelsCivelli, Stefano, Bernardelle, Pietro, Brunello, Nicolò and Demartini, Gianluca (2026). A shared geometry of difficulty in multilingual language models. 64th Association for Computational Linguistics Meeting-ACL-Annual, San Diego, CA, United States, 02-07 July, 2026. Stroudsburg, PA, United States: Association for Computational Linguistics. doi: 10.18653/v1/2026.acl-short.66 |
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2026 Conference Publication The effect of document summarization on LLM-based relevance judgmentsMohtadi, Samaneh, Roitero, Kevin, Mizzaro, Stefano and Demartini, Gianluca (2026). The effect of document summarization on LLM-based relevance judgments. 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, 29 March - 2 April 2026. Heidelberg, Germany: Springer. doi: 10.1007/978-3-032-21300-6_5 |
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2026 Conference Publication 18th ACMWeb Science Conference 2026Balke, Wolf-Tilo, Plotzky, Florian, Demartini, Gianluca, Dietze, Stefan, Golbeck, Jennifer, Kaiser, Sierra and Rezapour, Rezvaneh (2026). 18th ACMWeb Science Conference 2026. 18th Web Science Conference-WEBSCI-Annual, Braunschweig Germany, May 26-29, 2026. NEW YORK: ASSOC COMPUTING MACHINERY. |
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2026 Conference Publication Query–document dense vectors for LLM relevance judgment bias analysisMohtadi, Samaneh and Demartini, Gianluca (2026). Query–document dense vectors for LLM relevance judgment bias analysis. 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, 29 March - 2 April 2026. Heidelberg, Germany: Springer. doi: 10.1007/978-3-032-21300-6_6 |
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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 |
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2025 Conference Publication Preaching to the ChoIR: lessons IR should share with AIDemartini, 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 |
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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. doi: 10.1007/978-3-031-94571-7_1 |
