Defining Cyberbullying: A Qualitative Research into the Perceptions of Youngsters
By Heidi Vandebosch, Katrien Van Cleemput. Cyberpsychology, Behavior, and Social Networking, 2008
657 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Education, Social Psychology
View Paper: https://www.semanticscholar.org/paper/ee1716f4ebdef031b324262335625a15d9c9f34b
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
- Peter K. Smith
- D. Grigg
- Rosemary Ricciardelli
- Anja Schultze‐Krumbholz
- Rosario Ortega-Ruiz
- Jacek Pyzalski
- Igor Santos
- Antonella Brighi
In Education
- Jacek Pyzalski
- D. Grigg
- Ersilia Menesini
- Ann Frisén
- Colette Langos
- Rosario Ortega-Ruiz
- William J. Fremouw
- Allison M. Schenk
In Social Psychology
- Jacek Pyzalski
- D. Grigg
- Peter K. Smith
- Ersilia Menesini
- Rosario Ortega-Ruiz
- Ann Frisén
- Annalaura Nocentini
- Herbert Scheithauer
Citations in the corpus
- Cyberbullying: A Review of the Literature. (2013, background): “(Vandebosch & Van Cleemput, 2008; Tokunaga, 2010; Smith, 2009 as cited in Durkin & Patterson, 2011) Tokunaga (2010) found the multidimensionality of the cyberbullying construct renders a simple yes/no response almost impossible to accomplish, much less interpret and provide a reliable and valid…”
- Cyberbullying: Challenges and opportunities for a research program—A response to Olweus (2012) (2012, background): “The concept of imbalance of power also needs a rethink in cyberspace, as clearly it does not refer to physical strength or numerical strength; indeed the “revenge of the nerds” hypothesis (see Ybarra & Mitchell, 2004 ) supposes that a traditionally weaker victim may seek revenge on his or her torme”
- Attacking others online: The formation of cyberbullying in late adolescence. (2012, neutral): “Although a victim of cyberbullying will often know their assailant (Mishna, Saini, & Solomon, 2009), that is not a necessary condition in the online world (Vandebosch & Van Cleemput, 2008).”
- Supervised machine learning for the detection of troll profiles in twitter social network: application to a real case of cyberbullying (2015, background): “Cyberbullying, according to [7], refers to any harassment that occurs via the internet, cell phones or other devices.”
- Cyberbullying Definition Among Adolescents: A Comparison Across Six European Countries (2012, positive): “1,2,12,15,16 This leads to the question whether the use of repetition may be less reliable as a criterion for cyberbullying.”
- Prevalence, Psychological Impact, and Coping of Cyberbully Victims Among College Students (2012, background): “A power imbalance could be based on actual power criteria, such as physical strength, body build, age, or on technological ability (Vandebosch & Van Cleemput, 2008).”
- Anonymously hurting others online: The effect of anonymity on cyberbullying frequency. (2015, background): “To date, several researchers have suggested that one defining characteristic that differentiates CB from traditional bullying is enhanced anonymity for the aggressor (Li, 2007; Smith et al., 2008; Vandebosch & Van Cleemput, 2008).”