activity
20092026
most citedPolitical Discourse on Social Media: Echo Chambers, Gatekeepers, and the Price of Bipartisanship

79 citations · 541 across the 84 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.SI2023★ 10 cited

Rebalancing Social Feed to Minimize Polarization and Disagreement

Federico Cinus, Aristides Gionis, Francesco Bonchi

Social media have great potential for enabling public discourse on important societal issues. However, adverse effects, such as polarization and echo chambers, greatly impact the b…

cs.DB2023

Finding Favourite Tuples on Data Streams with Provably Few Comparisons

Guangyi Zhang, Nikolaj Tatti, Aristides Gionis

One of the most fundamental tasks in data science is to assist a user with unknown preferences in finding high-utility tuples within a large database. To accurately elicit the unkn…

cs.SI2023

Minimizing Hitting Time between Disparate Groups with Shortcut Edges

Florian Adriaens, Honglian Wang, Aristides Gionis

Structural bias or segregation of networks refers to situations where two or more disparate groups are present in the network, so that the groups are highly connected internally, b…

cs.SI2023

Reducing Exposure to Harmful Content via Graph Rewiring

Corinna Coupette, Stefan Neumann, Aristides Gionis

Most media content consumed today is provided by digital platforms that aggregate input from diverse sources, where access to information is mediated by recommendation algorithms.…

cs.SI2023

Adversaries with Limited Information in the Friedkin--Johnsen Model

Sijing Tu, Stefan Neumann, Aristides Gionis

In recent years, online social networks have been the target of adversaries who seek to introduce discord into societies, to undermine democracies and to destabilize communities. O…

cs.NI2023

Learning Cellular Coverage from Real Network Configurations using GNNs

Yifei Jin, Marios Daoutis, Sarunas Girdzijauskas +1

Cellular coverage quality estimation has been a critical task for self-organized networks. In real-world scenarios, deep-learning-powered coverage quality estimation methods cannot…