Effects of Presentation Styles and Personality Traits on Cyberbullying

Nicole Coleman and Dr. Nicholas Van Horn, Department of Psychology, Capital University, 1 College and Main, Columbus OH 43209-2394

Cyberbullying has become increasingly prevalent in today’s society as digital culture is incorporated into everyday life, leading to prolonged negative effects on victims’ mental health and academic success. In hope of abating the influence of cyberbullying, prior research has investigated possible contributing factors, including personality traits, and the roles of victim, bully, and bystander in online environments. Further, attention has been paid to how bystanders’ actions influence the dynamics between cyberbully and cybervictim.  However, it is unclear how the management of one’s self-image through malleable presentation styles influences each role. This study aimed to provide new insight on cyberbullying by investigating the connection between presentation styles and personality traits, as they interrelate with the roles of victim, bully, and bystander. A questionnaire (n = 331) assessed these variables by use of the five-factor model of personality, a classification of presentation style preference (Schütz 1998), and a cyberbullying experience assessment. An agent-based model investigated how the empirical findings from the survey influenced the amount of bullies, victims, and bystanders in a simulated social network. Survey analysis found both presentation styles and personality traits were associated with the roles. Model simulations suggest that bystanders play a particularly important role in online networks. Knowing presentation styles and personality traits are indicative of cyberbullying roles could assist in bullying detection and promote the development of more specialized tactics to deter this harmful behavior.

Additional Abstract Information

Presenter: Nicole Coleman

Institution: Capital University

Type: Poster

Subject: Psychology

Status: Approved

Time and Location

Session: Poster 11
Date/Time: Wed 3:00pm-4:00pm
Session Number: 7004