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X Demographics
Mendeley readers
Chapter title |
Identifying Political Sentiments on YouTube: A Systematic Comparison Regarding the Accuracy of Recurrent Neural Network and Machine Learning Models
|
---|---|
Chapter number | 8 |
Book title |
Disinformation in Open Online Media
|
Published by |
Springer, Cham, October 2020
|
DOI | 10.1007/978-3-030-61841-4_8 |
Book ISBNs |
978-3-03-061840-7, 978-3-03-061841-4
|
Authors |
Daniel Röchert, German Neubaum, Stefan Stieglitz, Röchert, Daniel, Neubaum, German, Stieglitz, Stefan |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Philippines | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 18% |
Lecturer | 1 | 6% |
Student > Ph. D. Student | 1 | 6% |
Professor | 1 | 6% |
Researcher | 1 | 6% |
Other | 1 | 6% |
Unknown | 9 | 53% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 35% |
Social Sciences | 2 | 12% |
Engineering | 1 | 6% |
Unknown | 8 | 47% |