Gianluca Demartini

Has grant

Associate Professor

University of Queensland

Australia

Research Interests

Explore related searches

Professors in Australia Professors in Artificial Intelligence Artificial Intelligence professors in Australia

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Gianluca Demartini is an Associate Professor at the University of Queensland, Australia. His research focuses on media literacy, critical thinking, and the intersection of emotion dynamics with opinion changes, particularly in the context of generative AI. He also explores methodologies in crowdsourcing, fact-checking, and the application of mixed reality for improving user experience in data analysis.

Recent Grants

Grant: Close

Building crowd sourced data curation processes

Open Date: 2019-01-01

Close Date: 2021-12-31

Grant: Close

Understanding Europe’s Fashion Data Universe

Open Date: 2017-01-01

Close Date: 2019-12-31

Grant: Close

BetterCrowd: Human Computation for Big Data

Open Date: 2016-01-01

Close Date: 2017-12-31

Grant: Close

Quality Assurance Models for Crowdsourcing Platforms

Open Date: 2012-06-01

Close Date: 2012-08-31

Articles (22)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Collaborators (15)

Guido Zuccon

Associate Professor

University of Queensland

AUSTRALIA

Gianluca Demartini

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (22)

Enhancing peer feedback provision through user interface scaffolding: A comparative examination of scripting and self-monitoring techniques

Embedded and situated visualisation in mixed reality to support interval running

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

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

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

Crowdsourcing or AI Sourcing?

Information analysis in criminal investigations: methods, challenges, and computational opportunities processing unstructured text

How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments

Crowdsourced Fact-checking: Does It Actually Work?

Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms

Cognitive Biases in Fact-Checking and Their Countermeasures: A Review

Editorial: Special Issue on Human in the Loop Data Curation

Who Determines What Is Relevant? Humans or AI? Why Not Both? : A spectrum of human–AI collaboration in assessing relevance

On the impact of showing evidence from peers in crowdsourced truthfulness assessments

On the Role of Large Language Models in Crowdsourcing Misinformation Assessment

A Neural Model to Jointly Predict and Explain Truthfulness of Statements

A Data-Driven Analysis of Behaviors in Data Curation Processes

Active learning with feature matching for clinical named entity recognition

Data bias management

Task design in complex crowdsourcing experiments: Item assignment optimization

The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale

Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19

Collaborators (15)

Guido Zuccon

Damiano Spina

Stephen Viller

Maxime Cordeil

Andrea Schaerf

Shazia Sadiq

Ujwal Gadiraju

Dragan Gasevic

Tetsuya Sakai

Omid Noroozi

Jie Yang

Sara Ceschia

Marta Indulska

Luca Di Gaspero

Afshin Rahimi

Make your next move.