You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Unmasking COVID-19 False Information on Twitter: A Topic-Based Approach with BERT
|
---|---|
Chapter number | 9 |
Book title |
Discovery Science
|
Published by |
Springer, Cham, January 2023
|
DOI | 10.1007/978-3-031-45275-8_9 |
Book ISBNs |
978-3-03-145274-1, 978-3-03-145275-8
|
Authors |
Cantini, Riccardo, Cosentino, Cristian, Kilanioti, Irene, Marozzo, Fabrizio, Talia, Domenico |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 2 | 50% |
Student > Master | 1 | 25% |
Unknown | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 50% |
Economics, Econometrics and Finance | 1 | 25% |
Unknown | 1 | 25% |