25 citations · 101 across the 9 of their papers we have counts for
6 papers · 1 filter
A Note on the Significance Adjustment for FA*IR with Two Protected Groups
Meike Zehlike, Tom Sühr, Carlos Castillo
In this report we provide an improvement of the significance adjustment from the FA*IR algorithm of Zehlike et al., which did not work for very short rankings in combination with a…
Exploring Artist Gender Bias in Music Recommendation
Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez +1
Music Recommender Systems (mRS) are designed to give personalised and meaningful recommendations of items (i.e. songs, playlists or artists) to a user base, thereby reflecting and…
SciLens News Platform: A System for Real-Time Evaluation of News Articles
Angelika Romanou, Panayiotis Smeros, Carlos Castillo +1
We demonstrate the SciLens News Platform, a novel system for evaluating the quality of news articles. The SciLens News Platform automatically collects contextual information about…
FairSearch: A Tool For Fairness in Ranked Search Results
Meike Zehlike, Tom Sühr, Carlos Castillo +1
Ranked search results and recommendations have become the main mechanism by which we find content, products, places, and people online. With hiring, selecting, purchasing, and dati…
SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators
Panayiotis Smeros, Carlos Castillo, Karl Aberer
This paper describes, develops, and validates SciLens, a method to evaluate the quality of scientific news articles. The starting point for our work are structured methodologies th…
To Post or Not to Post: Using Online Trends to Predict Popularity of Offline Content
Sofiane Abbar, Carlos Castillo, Antonio Sanfilippo
Predicting the popularity of online content has attracted much attention in the past few years. In news rooms, for instance, journalists and editors are keen to know, as soon as po…