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Violence Depicted in Superhero-Based Films Stratified by Protagonist/Antagonist and Gender.
Muller, John N; Moroco, Annie; Loloi, Justin; Portolese, Austin; Wakefield, Bryan H; King, Tonya S; Olympia, Robert.
Afiliação
  • Muller JN; Emergency Medicine, Penn State College of Medicine, Hershey, USA.
  • Moroco A; Emergency Medicine, Penn State College of Medicine, Hershey, USA.
  • Loloi J; Internal Medicine, Penn State Hershey Medical Center, Hershey, USA.
  • Portolese A; Emergency Medicine, Penn State College of Medicine, Hershey, USA.
  • Wakefield BH; Chemistry, Coastal Carolina University, Myrtle Beach, USA.
  • King TS; Epidemiology and Public Health, Penn State College of Medicine, Hershey, USA.
  • Olympia R; Emergency Medicine and Pediatrics, Penn State Hershey Medical Center, Hershey, USA.
Cureus ; 12(2): e6843, 2020 Feb 01.
Article em En | MEDLINE | ID: mdl-32181080
ABSTRACT
The objective of this study was to describe and quantify acts of violence depicted in a select number of superhero-based films, further stratified by protagonist/antagonist characters and gender. A total of 10 superhero-based films released in 2015-2016 were analyzed by five independent reviewers. The average number of acts of violence associated with protagonist and antagonist characters for all included films was 22.7 and 17.5 mean events per hour, respectively (p=0.019). The average number of acts of violence associated with male and female characters for all included films was 33.4 and 6.5 mean events per hour, respectively (p<0.001). The most common acts of violence for all major characters were "fighting", "use of a lethal weapon", "bullying/intimidation/torture", "destruction of property", and "murder" (14.9, 11.4, 3.5, 3.4, and 2.4 mean events per hour, respectively). Based on our sample of superhero-based films, acts of violence were associated more with protagonist characters and male characters.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article