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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

Bias in Humans and AI - What To Do About It?

Demartini, Gianluca (2025). Bias in Humans and AI - What To Do About It?. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3719143

Bias in Humans and AI - What To Do About It?

2025

Conference Publication

Are Large Language Models Good Data Preprocessors?

Meguellati, Elyas, Pratama, Nardiena, Sadiq, Shazia and Demartini, Gianluca (2025). Are Large Language Models Good Data Preprocessors?. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3717568

Are Large Language Models Good Data Preprocessors?

2025

Conference Publication

Mapping and influencing the political ideology of large language models using synthetic personas

Bernardelle, Pietro, Fröhling, Leon, Civelli, Stefano, Lunardi, Riccardo, Roitero, Kevin and Demartini, Gianluca (2025). Mapping and influencing the political ideology of large language models using synthetic personas. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April-2 May 2025. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3701716.3715578

Mapping and influencing the political ideology of large language models using synthetic personas

2025

Conference Publication

BiasNavi: LLM-Empowered Data Bias Management

Yu, Junliang, Huynh, Jay Thai Duong, Fan, Shaoyang, Demartini, Gianluca, Chen, Tong, Yin, Hongzhi and Sadiq, Shazia (2025). BiasNavi: LLM-Empowered Data Bias Management. ACM Web Conference 2025 (WWW'25), Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715169

BiasNavi: LLM-Empowered Data Bias Management

2025

Conference Publication

The impact of persona-based political perspectives on hateful content detection

Civelli, Stefano, Bernardelle, Pietro and Demartini, Gianluca (2025). The impact of persona-based political perspectives on hateful content detection. WWW '25: The ACM Web Conference 2025, Sydney, NSW Australia, 28 April - 2 May 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3701716.3718383

The impact of persona-based political perspectives on hateful content detection

2025

Conference Publication

Plan-then-execute: an empirical study of user trust and team performance when using LLM agents as a daily assistant

He, Gaole, Demartini, Gianluca and Gadiraju, Ujwal (2025). Plan-then-execute: an empirical study of user trust and team performance when using LLM agents as a daily assistant. 2025 Conference on Human Factors in Computing Systems-CHI, Yokohama, Japan, 26 April - 1 May2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3706598.3713218

Plan-then-execute: an empirical study of user trust and team performance when using LLM agents as a daily assistant

2025

Conference Publication

Fast synthetic data generation for case-specific entity extraction in criminal investigations

Skipanes, Mads, Pratama, Nardiena, Porter, Kyle and Demartini, Gianluca (2025). Fast synthetic data generation for case-specific entity extraction in criminal investigations. DFDS 2025: Digital Forensics Doctoral Symposium, Brno, Czech Republic, 1 April 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3712716.3712719

Fast synthetic data generation for case-specific entity extraction in criminal investigations

2025

Conference Publication

Enhancing criminal investigation analysis with summarization and memory-based retrieval-augmented generation: a comprehensive evaluation of real case data

Skipanes, Mads, Jørgensen, Tollef Emil, Porter, Kyle, Demartini, Gianluca and Yayilgan, Sule Yildirim (2025). Enhancing criminal investigation analysis with summarization and memory-based retrieval-augmented generation: a comprehensive evaluation of real case data. 31st International Conference on Computational Linguistics (COLING 2025), Abu Dhabi, United Arab Emirates, 19-24 January 2025. Stroudsburg, PA, United States: Association for Computational Linguistics (ACL).

Enhancing criminal investigation analysis with summarization and memory-based retrieval-augmented generation: a comprehensive evaluation of real case data

2025

Conference Publication

On the Role of Information Retrieval When Teaching Artificial Intelligence: The What, the Why, and the How

Demartini, Gianluca, Mizzaro, Stefano, Roitero, Kevin and Spina, Damiano (2025). On the Role of Information Retrieval When Teaching Artificial Intelligence: The What, the Why, and the How. 2nd International Workshop on Education for Artificial Intelligence, Bologna Italy, Oct 26, 2025. Aachen, Germany: Rheinisch-Westfaelische Technische Hochschule Aachen.

On the Role of Information Retrieval When Teaching Artificial Intelligence: The What, the Why, and the How

2024

Conference Publication

Optimizing LLMs with direct preferences: a data efficiency perspective

Bernardelle, Pietro and Demartini, Gianluca (2024). Optimizing LLMs with direct preferences: a data efficiency perspective. SIGIR-AP 2024: 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Tokyo, Japan, 9-12 December 2024. New York, NY, United States: ACM. doi: 10.1145/3673791.3698411

Optimizing LLMs with direct preferences: a data efficiency perspective

2024

Conference Publication

Influence of metadata on quality evaluation of unstructured information artefacts

Zhou, Hui, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2024). Influence of metadata on quality evaluation of unstructured information artefacts. The Australasian Conference on Information Systems (ACIS 2024), Canberra, ACT Australia, 4-6 December, 2024. AIS Electronic Library.

Influence of metadata on quality evaluation of unstructured information artefacts

2024

Conference Publication

Hate speech detection with generalizable target-aware fairness

Chen, Tong, Wang, Danny, Liang, Xurong, Risius, Marten, Demartini, Gianluca and Yin, Hongzhi (2024). Hate speech detection with generalizable target-aware fairness. KDD '24: 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, NY, United States: ACM. doi: 10.1145/3637528.3671821

Hate speech detection with generalizable target-aware fairness

2024

Conference Publication

Fairness without sensitive attributes via knowledge sharing

Ni, Hongliang, Han, Lei, Chen, Tong, Sadiq, Shazia and Demartini, Gianluca (2024). Fairness without sensitive attributes via knowledge sharing. 2024 ACM Conference on Fairness, Accountability, and Transparency, Rio de Janeiro, Brazil, 3-6 June 2024. New York, NY, United States: ACM. doi: 10.1145/3630106.3659014

Fairness without sensitive attributes via knowledge sharing

2024

Conference Publication

On the Role of Large Language Models in Crowdsourcing Misinformation Assessment

Xu, Jiechen, Han, Lei, Sadiq, Shazia and Demartini, Gianluca (2024). On the Role of Large Language Models in Crowdsourcing Misinformation Assessment. Eighteenth International AAAI Conference on Web and Social Media, Buffalo, NY United States, 3-6 June 2024. Washington, DC United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/icwsm.v18i1.31417

On the Role of Large Language Models in Crowdsourcing Misinformation Assessment

2024

Conference Publication

How good are LLMs in generating personalized advertisements?

Meguellati, Elyas, Han, Lei, Bernstein, Abraham, Sadiq, Shazia and Demartini, Gianluca (2024). How good are LLMs in generating personalized advertisements?. WWW '24: The ACM Web Conference 2024, Singapore, 13-17 May 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3589335.3651520

How good are LLMs in generating personalized advertisements?

2024

Conference Publication

Estimating gender completeness in Wikipedia

Patel, Hrishi, Chen, Tianwa, Bongiovanni, Ivano and Demartini, Gianluca (2024). Estimating gender completeness in Wikipedia. The Australasian Conference on Information Systems (ACIS 2024), Canberra, ACT, Australia, 4-6 December 2024. Canberra, ACT, Australia: Australasian Conference on Information Systems.

Estimating gender completeness in Wikipedia

2024

Conference Publication

Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid

Sai, Catherine, Sadiq, Shazia, Han, Lei, Demartini, Gianluca and Rinderle-Ma, Stefanie (2024). Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid. 18th International Conference, RCIS 2024, Guimarães, Portugal, 14-17 May 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-59465-6_11

Which legal requirements are relevant to a business process? Comparing AI-driven methods as expert aid

2024

Conference Publication

Stochastic Featurization for Active Learning

Le, Linh, Nguyen, Minh-Tien, Tran, Khai Phan, Zhao, Genghong, Xia, Zhang, Zuccon, Guido and Demartini, Gianluca (2024). Stochastic Featurization for Active Learning. Second International Workshop, TAI4H 2024, Jeju, South Korea, 4 August 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-67751-9_5

Stochastic Featurization for Active Learning

2023

Conference Publication

Exploring data workers’ behaviours in data quality discovery

Chen, Tianwa, Demartini, Gianluca, Indulska, Marta and Sadiq, Shazia (2023). Exploring data workers’ behaviours in data quality discovery. Australasian Conferences on Information Systems 2023, Wellington, New Zealand, 5-8 December 2023. Atlanta, GA USA: Association for Information Systems.

Exploring data workers’ behaviours in data quality discovery