Marco Minici
Biographic Data
| ID | 4975337 |
|---|---|
| NAME | Marco Minici |
| GIVEN NAMES | Marco |
| FAMILY NAME | Minici |
| SIGNATURE | MINICI M |
| AFFILIATIONS | University of Pisa |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Uncovering coordinated cross-platform information operations
Information operations (IOs) pose a significant threat to the integrity of democratic processes, with the potential to influence election-related online discourse. In anticipation of the 2024 U.S. presidential election, we present a study aimed at uncovering the digital traces of coordinated IOs on X (formerly Twitter). Using our machine learning framework for detecting online coordination, we analyze a dataset comprising election-related convers…
The Effect of People Recommenders on Echo Chambers and Polarization
The effects of online social media on critical issues, such as polarization and misinformation, are under scrutiny due to the disruptive consequences that these phenomena can have on our societies. Among the algorithms routinely used by social media platforms, people-recommender systems are of special interest, as they directly contribute to the evolution of the social network structure, affecting the information and the opinions users are expose…
The Effect of People Recommenders on Echo Chambers and Polarization
The effects of online social media on critical issues, such as polarization and misinformation, are under scrutiny due to the disruptive consequences that these phenomena can have on our societies. Among the algorithms routinely used by social media platforms, people-recommender systems are of special interest, as they directly contribute to the evolution of the social network structure, affecting the information and the opinions users are expose…
The Effect of People Recommenders on Echo Chambers and Polarization
The effects of online social media on critical issues, such as polarization and misinformation, are under scrutiny due to the disruptive consequences that these phenomena can have on our societies. Among the algorithms routinely used by social media platforms, people-recommender systems are of special interest, as they directly contribute to the evolution of the social network structure, affecting the information and the opinions users are expose…
Uncovering coordinated cross-platform information operations
Information operations (IOs) pose a significant threat to the integrity of democratic processes, with the potential to influence election-related online discourse. In anticipation of the 2024 U.S. presidential election, we present a study aimed at uncovering the digital traces of coordinated IOs on X (formerly Twitter). Using our machine learning framework for detecting online coordination, we analyze a dataset comprising election-related convers…
Computer Science (2 works) · Social Media and Politics (2 works) · Business (1 work) · Complex Network Analysis Techniques (1 work) · Computer security (1 work) · Data science (1 work) · Homophily (1 work) · Information retrieval (1 work) · Law (1 work) · Misinformation (1 work)