Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network

By Mohammed Ali Al-Garadi, Kasturi Dewi Varathan, Sri Devi Ravana. Computers in Human Behavior, 2016

343 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems, Social Psychology

View Paper: https://www.semanticscholar.org/paper/b553df3735be9b834a6a2b4dfc4f71fad3b1c10f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ben Verhoeven
2. Walter Daelemans
3. Cynthia Van Hee
4. Bart Desmet
5. Veronique Hoste
6. Els Lefever
7. Sebastian Garcia
8. Maria Rigaki

In Information Systems

1. Walter Daelemans
2. Cynthia Van Hee
3. Bart Desmet
4. Ben Verhoeven
5. Veronique Hoste
6. Els Lefever
7. Sebastian Garcia
8. Maria Rigaki

In Social Psychology

1. Walter Daelemans
2. Guy De Pauw
3. Cynthia Van Hee
4. Bart Desmet
5. Ben Verhoeven
6. Veronique Hoste
7. Els Lefever

Citations in the corpus

• Automatic detection of cyberbullying in social media text (2018, background): “(Al-garadi et al., 2016) Twitter ✗ Random Forest + SMOTE lexical + semantic + user-based + Twitter-based F1(micro)=94% AUC=94%”