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- Publisher
- Springer International Publishing
- Copyright
- © Springer Nature Switzerland AG 2020
- ISBN
- 978-3-030-59176-2
- Pages
- 15 –36
- DOI
- 10.1007/978-3-030-59177-9_2
- Publisher site
- See Chapter on Publisher Site
Abstract
[Making sense of data that is automatically collected from online platforms such as online social media or e-learning platforms is a challenging task: the data is massive, multidimensional, noisy, and heterogeneous (composed of differently behaving individuals). In this chapter we focus on a central task common to all on-line social platforms and that is the task of user characterization. For example, automatically identify a spammer or a bot on Twitter, or a disengaged student in an e-learning platform.]
Published: Dec 11, 2020