Cyberbullying on social network sites. An experimental study into bystanders' behavioural intentions to help the victim or reinforce the bully

By Sara Bastiaensens, Heidi Vandebosch, Karolien Poels, Katrien Van Cleemput, Ann DeSmet, Ilse de Bourdeaudhuij. Computers in Human Behavior, 2014

323 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Education, Social Psychology

View Paper: https://www.semanticscholar.org/paper/98bfc15e27fa8e518430b92be9164ccb95a57580

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. Heidi Vandebosch
2. Katrien Van Cleemput
3. Ilse de Bourdeaudhuij
4. Karolien Poels
5. Sara Bastiaensens
6. Ann DeSmet
7. Rosemary Ricciardelli
8. Michael Adorjan

In Education

1. Heidi Vandebosch
2. Katrien Van Cleemput
3. Ilse de Bourdeaudhuij
4. Karolien Poels
5. Sara Bastiaensens
6. Sara Pabian
7. Ann DeSmet
8. Rosemary Ricciardelli

In Social Psychology

1. Heidi Vandebosch
2. Katrien Van Cleemput
3. Ilse de Bourdeaudhuij
4. Karolien Poels
5. Sara Bastiaensens
6. Sara Pabian
7. Ann DeSmet
8. Rosemary Ricciardelli

Citations in the corpus

• From normative influence to social pressure: how relevant others affect whether bystanders join in cyberbullying (2016, background): “…has focused on personal characteristics of bystanders, including age (Van Cleemput et al., 2014), gender (Barli nska, Szuster, & Winiewski, 2013; Bastiaensens et al., 2014; Van Cleemput et al., 2014), involvement in cyberbullying as victim or perpetrator (Barli nska et al., 2013; Van Cleemput…”