activity
20142023
most citedVisual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology

97 citations · 310 across the 19 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CY2020★ 13 cited

A Taxonomy of Knowledge Gaps for Wikimedia Projects (Second Draft)

Miriam Redi, Martin Gerlach, Isaac Johnson +2

In January 2019, prompted by the Wikimedia Movement's 2030 strategic direction, the Research team at the Wikimedia Foundation identified the need to develop a knowledge gaps index…

cs.SI2020★ 4 cited

Wikipedia and Westminster: Quality and Dynamics of Wikipedia Pages about UK Politicians

Pushkal Agarwal, Miriam Redi, Nishanth Sastry +2

Wikipedia is a major source of information providing a large variety of content online, trusted by readers from around the world. Readers go to Wikipedia to get reliable informatio…

cs.IR2020

Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020

Edgar Meij, Tara Safavi, Chenyan Xiong +3

The KG-BIAS 2020 workshop touches on biases and how they surface in knowledge graphs (KGs), biases in the source data that is used to create KGs, methods for measuring or remediati…

cs.CY2020

Quantifying Engagement with Citations on Wikipedia

Tiziano Piccardi, Miriam Redi, Giovanni Colavizza +1

Wikipedia, the free online encyclopedia that anyone can edit, is one of the most visited sites on the Web and a common source of information for many users. As an encyclopedia, Wik…

cs.CY2020★ 40 cited

FaceLift: A transparent deep learning framework to beautify urban scenes

Sagar Joglekar, Daniele Quercia, Miriam Redi +3

In the area of computer vision, deep learning techniques have recently been used to predict whether urban scenes are likely to be considered beautiful: it turns out that these tech…