activity
20162026
most citedThe COVID-19 Social Media Infodemic

1.7k citations · 3.5k across the 48 of their papers we have counts for

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30 papers · 1 filter

cs.SI2026

Optimal and heuristic strategies for evaluating the influence of coordinated behavior in information cascades and retweet networks

Niccolò Di Marco, Matteo Cinelli, Shinichi Nakano +1

Coordinated Inauthentic Behavior (CIB) has become a major concern in online social platforms, yet its actual impact on information diffusion remains poorly understood. Existing res…

cs.SI2026

Reddit's Globalization over Twenty Years: Inferring Community Time Zone from Activity Timestamps

Franco Della Negra, Mattia Samory, Matteo Cinelli

Online communities are a global phenomenon, but assessing their actual geographical spread requires accurate and scalable measurement. We propose and evaluate methods that infer th…

cs.SI2026

Hyperactive Minority Alters the Stability of Community Notes

Jacopo Nudo, Eugenio Nerio Nemmi, Edoardo Loru +3

As platforms increasingly scale down professional fact-checking, community-based alternatives are promoted as more transparent and democratic. The main substitute being proposed is…

cs.SI2025

Patterns, Models, and Challenges in Online Social Media: A Survey

Niccolò Di Marco, Anita Bonetti, Edoardo Di Martino +10

The rise of digital platforms has enabled the large scale observation of individual and collective behavior through high resolution interaction data. This development has opened ne…

cs.SI2025★ 1 cited

Towards global equity in political polarization research

Max Falkenberg, Matteo Cinelli, Alessandro Galeazzi +18

With a folk understanding that political polarization refers to socio-political divisions within a society, many have proclaimed that we are more divided than ever. In this account…

cs.SI2025★ 69 cited

Coordinated Inauthentic Behavior and Information Spreading on Twitter

Matteo Cinelli, Stefano Cresci, Walter Quattrociocchi +2

We explore the effects of coordinated users (i.e., users characterized by an unexpected, suspicious, or exceptional similarity) in information spreading on Twitter by quantifying t…