activity
20202026
most citedA survey on the impacts of recommender systems on users, items, and human-AI ecosystems

5 citations · 14 across the 11 of their papers we have counts for

collaborators

11 papers

cs.SI2026

Joint Effects of Recommender Systems and Network Structure on the Visibility of Content and Creators

Virginia Morini, Valentina Pansanella, Luca Pappalardo +2

Social media algorithms allocate users' visibility by ranking content within their social networks. Yet, how recommendation logic and network structure jointly shape visibility acr…

cs.AI2024★ 3 cited

Y Social: an LLM-powered Social Media Digital Twin

Giulio Rossetti, Massimo Stella, Rémy Cazabet +7

In this paper we introduce Y, a new-generation digital twin designed to replicate an online social media platform. Digital twins are virtual replicas of physical systems that allow…

cs.IR2024★ 5 cited

A survey on the impacts of recommender systems on users, items, and human-AI ecosystems

Luca Pappalardo, Salvatore Citraro, Giuliano Cornacchia +12

Recommendation systems and assistants (in short, recommenders) influence through online platforms most actions of our daily lives, suggesting items or providing solutions based on…

cs.SI2024★ 1 cited

Sampled Datasets Risk Substantial Bias in the Identification of Political Polarization on Social Media

Gabriele Di Bona, Emma Fraxanet, Björn Komander +5

Following recent policy changes by X (Twitter) and other social media platforms, user interaction data has become increasingly difficult to access. These restrictions are impeding…

cs.SI2024

From Perils to Possibilities: Understanding how Human (and AI) Biases affect Online Fora

Virginia Morini, Valentina Pansanella, Katherine Abramski +4

Social media platforms are online fora where users engage in discussions, share content, and build connections. This review explores the dynamics of social interactions, user-gener…

cs.SI2023★ 1 cited

Online posting effects: Unveiling the non-linear journeys of users in depression communities on Reddit

Virginia Morini, Salvatore Citraro, Elena Sajno +4

Social media platforms have become pivotal as self-help forums, enabling individuals to share personal experiences and seek support. However, on topics as sensitive as depression,…

cs.SI2023

Trends and Topics: Characterizing Echo Chambers' Topological Stability and In-group Attitudes

Erica Cau, Virginia Morini, Giulio Rossetti

Social Network sites are fertile ground for several polluting phenomena affecting online and offline spaces. Among these phenomena are included echo chambers, closed systems in whi…

cs.SI2023★ 3 cited

Beyond Active Engagement: The Significance of Lurkers in a Polarized Twitter Debate

Anees Baqir, Yijing Chen, Fernando Diaz-Diaz +6

The emergence of new public forums in the shape of online social media has introduced unprecedented challenges to public discourse, including polarization, misinformation, and the…

cs.SI2022

Change my Mind: Data Driven Estimate of Open-Mindedness from Political Discussions

Valentina Pansanella, Virginia Morini, Tiziano Squartini +1

One of the main dimensions characterizing the unfolding of opinion formation processes in social debates is the degree of open-mindedness of the involved population. Opinion dynami…

cs.CL2021★ 1 cited

Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities

Simmi Marina Joseph, Salvatore Citraro, Virginia Morini +2

Writing messages is key to expressing feelings. This study adopts cognitive network science to reconstruct how individuals report their feelings in clinical narratives like suicide…

cs.SI2020

UTLDR: an agent-based framework for modeling infectious diseases and public interventions

Giulio Rossetti, Letizia Milli, Salvatore Citraro +1

Nowadays, due to the SARS-CoV-2 pandemic, epidemic modelling is experiencing a constantly growing interest from researchers of heterogeneous fields of study. Indeed, the vast liter…