60 citations · 62 across the 5 of their papers we have counts for
5 papers
Data Bias Management
Gianluca Demartini, Kevin Roitero, Stefano Mizzaro
Due to the widespread use of data-powered systems in our everyday lives, concepts like bias and fairness gained significant attention among researchers and practitioners, in both i…
On the Impact of Data Quality on Image Classification Fairness
Aki Barry, Lei Han, Gianluca Demartini
With the proliferation of algorithmic decision-making, increased scrutiny has been placed on these systems. This paper explores the relationship between the quality of the training…
Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?
Mohammed Saeed, Nicolas Traub, Maelle Nicolas +2
Fact-checking is one of the effective solutions in fighting online misinformation. However, traditional fact-checking is a process requiring scarce expert human resources, and thus…
The Effect of Class Imbalance and Order on Crowdsourced Relevance Judgments
Rehab K. Qarout, Alessandro Checco, Gianluca Demartini
In this paper we study the effect on crowd worker efficiency and effectiveness of the dominance of one class in the data they process. We aim at understanding if there is any posit…
Pairwise, Magnitude, or Stars: What's the Best Way for Crowds to Rate?
Alessandro Checco, Gianluca Demartini
We compare three popular techniques of rating content: the ubiquitous five star rating, the less used pairwise comparison, and the recently introduced (in crowdsourcing) magnitude…