most citedSelection Bias in News Coverage: Learning it, Fighting it

20 citations · 49 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR201918 cited

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…

cs.SI20196 cited

A Dynamic Embedding Model of the Media Landscape

Jeremie Rappaz, Dylan Bourgeois, Karl Aberer

Information about world events is disseminated through a wide variety of news channels, each with specific considerations in the choice of their reporting. Although the multiplicit…

cs.SI201920 cited

Selection Bias in News Coverage: Learning it, Fighting it

Dylan Bourgeois, Jeremie Rappaz, Karl Aberer

News entities must select and filter the coverage they broadcast through their respective channels since the set of world events is too large to be treated exhaustively. The subjec…

cs.LG20194 cited

Weakly Supervised Active Learning with Cluster Annotation

Fábio Perez, Rémi Lebret, Karl Aberer

In this work, we introduce a novel framework that employs cluster annotation to boost active learning by reducing the number of human interactions required to train deep neural net…

cs.DL20161 cited

ScienceWISE: Topic Modeling over Scientific Literature Networks

Andrea Martini, Artem Lutov, Valerio Gemmetto +11

We provide an up-to-date view on the knowledge management system ScienceWISE (SW) and address issues related to the automatic assignment of articles to research topics. So far, SW…