Name
Abstract | ||
|---|---|---|
Social media services represent freely-accessible social networks allowing registered members to broadcast short posts referring to a potentially-unlimited range of topics, by also exploiting the immediateness of handy smart devices. This workshop wanted to stress the vision of this powerful communication channel as a social sensor, which can be used to detect and characterize interesting and yet unreported information and events in real time, crossing all topics and locations. Future technologies on this connectivity may also provide applications with automatic techniques for the generation of news (filtered over user profiles), offering a sideways to the existing authoritative information media.
|
Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3342220.3349535 | Proceedings of the 30th ACM Conference on Hypertext and Social Media |
Keywords | Field | DocType |
analytics, data analysis, machine learning, natural language processing, social media, social networks, social sensors, topic detection, trend detection, web platforms | World Wide Web,Social media,Computer science,Multimedia | Conference |
ISBN | Citations | PageRank |
978-1-4503-6885-8 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luigi Di Caro | 1 | 195 | 35.21 |
| Mario Cataldi | 2 | 0 | 0.34 |
| Claudio Schifanella | 3 | 133 | 22.21 |