activity
20162022
most citedCertifiable Machine Unlearning for Linear Models

11 citations · 29 across the 9 of their papers we have counts for

collaborators
Showing 2017Show all

5 papers · 1 filter

cs.SI2017

Factors in Recommending Contrarian Content on Social Media

Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis +1

Polarization is a troubling phenomenon that can lead to societal divisions and hurt the democratic process. It is therefore important to develop methods to reduce it. We propose an…

cs.SI20175 cited

The Effect of Collective Attention on Controversial Debates on Social Media

Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis +1

We study the evolution of long-lived controversial debates as manifested on Twitter from 2011 to 2016. Specifically, we explore how the structure of interactions and content of dis…

cs.SI20176 cited

Ad-blocking: A Study on Performance, Privacy and Counter-measures

Kiran Garimella, Orestis Kostakis, Michael Mathioudakis

Many internet ventures rely on advertising for their revenue. However, users feel discontent by the presence of ads on the websites they visit, as the data-size of ads is often com…

cs.SI20172 cited

Exposing Twitter Users to Contrarian News

Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis +1

Polarized topics often spark discussion and debate on social media. Recent studies have shown that polarized debates have a specific clustered structure in the endorsement net- wor…

cs.SI2017

The Ebb and Flow of Controversial Debates on Social Media

Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis +1

We explore how the polarization around controversial topics evolves on Twitter - over a long period of time (2011 to 2016), and also as a response to major external events that lea…