Giovanni Luca Ciampaglia
Datos Biográficos
| ID | 310337 |
|---|---|
| NOMBRE | Giovanni Luca Ciampaglia |
| NOMBRES | Giovanni Luca |
| APELLIDO | Ciampaglia |
| FIRMA | CIAMPAGLIA G L |
| AFILIACIONES | University of South Florida |
| ORCID | 0000-0001-5354-9257 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 12 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2022 |
| ÍNDICE H | 2 |
Political audience diversity and news reliability in algorithmic ranking
Social influence and unfollowing accelerate the emergence of echo chambers
While social media make it easy to connect with and access information from anyone, they also facilitate basic influence and unfriending mechanisms that may lead to segregated and polarized clusters known as “echo chambers.” Here we study the conditions in which such echo chambers emerge by introducing a simple model of information sharing in online social networks with the two ingredients of influence and unfriending. Users can change both their…
Fashion informatics and the network of fashion knockoffs
Knowledge discovery techniques have a long history of application to fields of practice such as marketing and business intelligence. Fashion and other manufacturing compartments have comparably enjoyed little attention from computer scientists. With the increasing availability of multimedia data from the Web and social media, our understanding of the fashion apparel industry could be significantly enhanced through the use of knowledge discovery m…
Social influence and unfollowing accelerate the emergence of echo chambers
While social media make it easy to connect with and access information from anyone, they also facilitate basic influence and unfriending mechanisms that may lead to segregated and polarized clusters known as “echo chambers.” Here we study the conditions in which such echo chambers emerge by introducing a simple model of information sharing in online social networks with the two ingredients of influence and unfriending. Users can change both their…
Political audience diversity and news reliability in algorithmic ranking
Fashion informatics and the network of fashion knockoffs
Knowledge discovery techniques have a long history of application to fields of practice such as marketing and business intelligence. Fashion and other manufacturing compartments have comparably enjoyed little attention from computer scientists. With the increasing availability of multimedia data from the Web and social media, our understanding of the fashion apparel industry could be significantly enhanced through the use of knowledge discovery m…
Social influence and unfollowing accelerate the emergence of echo chambers
While social media make it easy to connect with and access information from anyone, they also facilitate basic influence and unfriending mechanisms that may lead to segregated and polarized clusters known as “echo chambers.” Here we study the conditions in which such echo chambers emerge by introducing a simple model of information sharing in online social networks with the two ingredients of influence and unfriending. Users can change both their…
Political audience diversity and news reliability in algorithmic ranking
Computer Science (2 obras) · Data science (2 obras) · Misinformation and Its Impacts (2 obras) · Opinion Dynamics and Social Influence (2 obras) · Political science (2 obras) · Social media (2 obras) · Clothing (1 obras) · Consumer Behavior in Brand Consumption and Identification (1 obras) · Diversity (politics (1 obras) · Dynamics (music (1 obras)