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Do stereotypes of mental and developmental disorders predict bystander intentions in cyberbullying? An application of the stereotype content model

Görzig, Anke, Bedrosova, Marie and MacHackova, Hana (2020) Do stereotypes of mental and developmental disorders predict bystander intentions in cyberbullying? An application of the stereotype content model. International Journal of Developmental Sciences, 13 (3-4). pp. 83-95. ISSN 2192-001X

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Identification Number: 10.3233/DEV-190270

Abstract

It was investigated whether different types of mental or developmental disorders (MDD) would be rated differently in terms of stereotypic perceptions and behavioral tendencies and whether these effects of stereotypes on behaviors would be mediated via emotional responses in line with the Stereotype Content Model (SCM). Furthermore, an experimental investigation sought to ascertain whether predictions about behavioral intentions of bystanders in a cyberbullying scenario towards a victim with MDD could be derived from the general behavioral tendencies as predicted by the SCM. Two-hundred-forty-eight undergraduate students (62% female) aged 18-35 (M = 22.5) were randomly allocated to one of five conditions (anxiety, depression, schizophrenia, Asperger's, or control). Stereotypes, emotional, and behavioral responses, as well as bystander intentions were assessed. Results largely confirmed the general application of the SCM to MDD; however, this was not the case for bystander intentions in cyberbullying. Implications for the application of the SCM and methodological considerations are discussed.

Item Type: Article
Official URL: https://content.iospress.com/journals/internationa...
Additional Information: © 2020 IOS Press
Divisions: Media and Communications
Subjects: R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
B Philosophy. Psychology. Religion > BF Psychology
H Social Sciences > HV Social pathology. Social and public welfare. Criminology
Date Deposited: 30 Jan 2020 16:54
Last Modified: 12 Dec 2024 02:03
URI: http://eprints.lse.ac.uk/id/eprint/103219

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