activity
20232026
most citedThe Drivers of Global News Spreading Patterns

12 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2026

The Gray Area: Characterizing Moderator Disagreement on Reddit

Shayan Alipour, Shruti Phadke, Seyed Shahabeddin Mousavi +3

Volunteer moderators play a crucial role in sustaining online dialogue, but they often disagree about what should or should not be allowed. In this paper, we study the complexity o…

cs.IR2026

When Attention Becomes Exposure in Generative Search

Shayan Alipour, Mehdi Kargar, Morteza Zihayat

Generative search engines are reshaping information access by replacing traditional ranked lists with synthesized answers and references. In parallel, with the growth of Web3 platf…

cs.CY2024

Robustness and Confounders in the Demographic Alignment of LLMs with Human Perceptions of Offensiveness

Shayan Alipour, Indira Sen, Mattia Samory +1

Large language models (LLMs) are known to exhibit demographic biases, yet few studies systematically evaluate these biases across multiple datasets or account for confounding facto…

cs.CY2023

Cross-Platform Social Dynamics: An Analysis of ChatGPT and COVID-19 Vaccine Conversations

Shayan Alipour, Alessandro Galeazzi, Emanuele Sangiorgio +4

The role of social media in information dissemination and agenda-setting has significantly expanded in recent years. By offering real-time interactions, online platforms have becom…

cs.SI2023★ 12 cited

The Drivers of Global News Spreading Patterns

Shayan Alipour, Niccolò Di Marco, Michele Avalle +3

The web radically changed the dissemination of information and the global spread of news. In this study, we aim to reconstruct the connectivity patterns within nations shaping news…

physics.soc-ph2023

Users volatility on Reddit and Voat

Niccolò Di Marco, Matteo Cinelli, Shayan Alipour +1

Social media platforms are like giant arenas where users can rely on different content and express their opinions through likes, comments, and shares. However, do users welcome dif…