Stefano Mizzaro

Latest

Report from the Fourth Strategic Workshop on Information Retrieval in Lorne (SWIRL 2025)
Preaching to the ChoIR: Lessons IR Should Share with AI
Cognitive Biases in Fact-Checking and Their Countermeasures: A Review
Crowdsourced Fact-Checking: Does It Actually Work?
Report on the Hands-On PhD Course on Responsible AI from the Lens of an Information Access Researcher
Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19
Combining Human and Machine Confidence in Truthfulness Assessment
BUM at CheckThat! 2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval
Ranking Interruptus: When Truncated Rankings Are Better and How to Measure That
Human-in-the-Loop Systems for Truthfulness: A Study of Human and Machine Confidence
The Many Dimensions of Truthfulness: Crowdsourcing Misinformation Assessments on a Multidimensional Scale
Human-in-the-loop Artificial Intelligence for Fighting Online Misinformation: Challenges and Opportunities
Can The Crowd Identify Misinformation Objectively? The Effects of Judgment Scale and Assessor's Background
Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Research Frontiers in Information Retrieval: Report from the Third Strategic Workshop on Information Retrieval in Lorne (SWIRL 2018)
A Formal Account of Effectiveness Evaluation and Ranking Fusion
How Many Truth Levels? Six? One Hundred? Even more? Validating Truthfulness of Statements via Crowdsourcing
Towards a Basic Principle for Ranking Effectiveness Prediction without Human Assessments: A Preliminary Study