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2024

Journal Article

Cognitive biases in fact-checking and their countermeasures: a review

Soprano, Michael, Roitero, Kevin, La Barbera, David, Ceolin, Davide, Spina, Damiano, Demartini, Gianluca and Mizzaro, Stefano (2024). Cognitive biases in fact-checking and their countermeasures: a review. Information Processing and Management, 61 (3) 103672. doi: 10.1016/j.ipm.2024.103672

Cognitive biases in fact-checking and their countermeasures: a review

2024

Conference Publication

CoLAL: Co-learning active learning for text classification

Le, 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

CoLAL: Co-learning active learning for text classification

2024

Journal Article

Who determines what is relevant? Humans or AI? Why not both? : A spectrum of human–AI collaboration in assessing relevance

Faggioli, Guglielmo, Dietz, Laura, Clarke, Charles, Demartini, Gianluca, Hagen, Matthias, Hauff, Claudia, Kando, Noriko, Kanoulas, Evangelos, Potthast, Martin, Stein, Benno and Wachsmuth, Henning (2024). Who determines what is relevant? Humans or AI? Why not both? : A spectrum of human–AI collaboration in assessing relevance. Communications of the ACM, 67 (4), 31-34. doi: 10.1145/3624730

Who determines what is relevant? Humans or AI? Why not both? : A spectrum of human–AI collaboration in assessing relevance

2023

Journal Article

Data bias management

Demartini, Gianluca, Roitero, Kevin and Mizzaro, Stefano (2023). Data bias management. Communications of the ACM, 67 (1), 28-32. doi: 10.1145/3611641

Data bias management

2023

Journal Article

Human-AI cooperation to tackle misinformation and polarization

Spina, Damiano, Sanderson, Mark, Angus, Daniel, Demartini, Gianluca, Mckay, Dana, Saling, Lauren L. and White, Ryen W. (2023). Human-AI cooperation to tackle misinformation and polarization. Communications of the ACM, 66 (7), 40-45. doi: 10.1145/3588431

Human-AI cooperation to tackle misinformation and polarization

2022

Conference Publication

Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments

Roitero, 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

Preferences on a budget: prioritizing document pairs when crowdsourcing relevance judgments

2020

Journal Article

CrowdCO-OP: sharing risks and rewards in crowdsourcing

Fan, Shaoyang, Gadiraju, Ujwal, Checco, Alessandro and Demartini, Gianluca (2020). CrowdCO-OP: sharing risks and rewards in crowdsourcing. Proceedings of the ACM on Human-Computer Interaction, 4 (CSCW2) 132, 1-24. doi: 10.1145/3415203

CrowdCO-OP: sharing risks and rewards in crowdsourcing

2020

Conference Publication

Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background

Roitero, 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

Can the crowd identify misinformation objectively?: The effects of judgment scale and assessor's background

2020

Conference Publication

On understanding data worker interaction behaviors

Han, 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

On understanding data worker interaction behaviors

2020

Journal Article

Adversarial attacks on crowdsourcing quality control

Checco, Alessandro, Bates, Jo and Demartini, Gianluca (2020). Adversarial attacks on crowdsourcing quality control. Journal of Artificial Intelligence Research, 67, 375-408. doi: 10.1613/jair.1.11332

Adversarial attacks on crowdsourcing quality control

2019

Conference Publication

Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data

Yang, 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

Scalpel-CD: leveraging crowdsourcing and deep probabilistic modeling for debugging noisy training data

2015

Conference Publication

Understanding malicious behavior in crowdsourcing platforms: the case of online surveys

Gadiraju, 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

Understanding malicious behavior in crowdsourcing platforms: the case of online surveys

2015

Conference Publication

The dynamics of micro-task crowdsourcing: the case of amazon MTurk

Difallah, 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

The dynamics of micro-task crowdsourcing: the case of amazon MTurk

2025

Journal Article

Provoking critical thinking: using counter-arguments in online discussion summarisation

Li, Shangqian, Han, Lei and Demartini, Gianluca (2025). Provoking critical thinking: using counter-arguments in online discussion summarisation. Information Processing and Management, 62 (6) 104258, 104258-6. doi: 10.1016/j.ipm.2025.104258

Provoking critical thinking: using counter-arguments in online discussion summarisation

2025

Journal Article

Enhancing media literacy: The effectiveness of (Human) annotations and bias visualizations on bias detection

Spinde, Timo, Wu, Fei, Gaissmaier, Wolfgang, Demartini, Gianluca, Echizen, Isao and Giese, Helge (2025). Enhancing media literacy: The effectiveness of (Human) annotations and bias visualizations on bias detection. Information Processing and Management, 62 (6) 104244, 104244-6. doi: 10.1016/j.ipm.2025.104244

Enhancing media literacy: The effectiveness of (Human) annotations and bias visualizations on bias detection

2025

Journal Article

The interaction between emotion dynamics and opinion changes in the era of generative AI

Li, Shangqian, Fan, Shaoyang and Demartini, Gianluca (2025). The interaction between emotion dynamics and opinion changes in the era of generative AI. Computers in Human Behavior Reports, 19 100722, 1-18. doi: 10.1016/j.chbr.2025.100722

The interaction between emotion dynamics and opinion changes in the era of generative AI

2025

Conference Publication

Preaching to the ChoIR: lessons IR should share with AI

Demartini, 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

Preaching to the ChoIR: lessons IR should share with AI

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 Switzerland. doi: 10.1007/978-3-031-94571-7_1

How do experts make sense of integrated process models?

2025

Conference Publication

LLM-Based Semantic Augmentation for Harmful Content Detection

Meguellati, Elyas, Zeghina, Assaad, Sadiq, Shazia and Demartini, Gianluca (2025). LLM-Based Semantic Augmentation for Harmful Content Detection. Nineteenth International AAAI Conference on Web and Social Media, Copenhagen, Denmark, 23-26 June 2025. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v19i1.35868

LLM-Based Semantic Augmentation for Harmful Content Detection

2025

Conference Publication

Perception of Visual Content: Differences Between Humans and Foundation Models

Pratama, Nardiena A., Fan, Shaoyang and Demartini, Gianluca (2025). Perception of Visual Content: Differences Between Humans and Foundation Models. Nineteenth International AAAI Conference on Web and Social Media, Copenhagen, Denmark, 23-26 June 2025. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v19i1.35891

Perception of Visual Content: Differences Between Humans and Foundation Models