Uncivil Reactions to Sexual Assault Online: Linguistic Features of News Reports Predict Discourse Incivility.

content analysis discourse incivility media effects sentiment analysis sexual assault

Journal

Cyberpsychology, behavior and social networking
ISSN: 2152-2723
Titre abrégé: Cyberpsychol Behav Soc Netw
Pays: United States
ID NLM: 101528721

Informations de publication

Date de publication:
Dec 2021
Historique:
pubmed: 14 9 2021
medline: 15 12 2021
entrez: 13 9 2021
Statut: ppublish

Résumé

Reports of sexual assault have been found to elicit online discourse incivility. The present study employs a computerized coding tool to examine linguistic characteristics of news media that are likely to influence discourse incivility-specifically, negative emotion, disagreement, and discussion about power relations. Additionally, machine learning was harnessed to measure the levels of comment toxicity, insult, profanity, threat, and identity attack in

Identifiants

pubmed: 34515520
doi: 10.1089/cyber.2021.0075
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

815-821

Auteurs

Hannah Stevens (H)

Department of Communication, University of California, Davis, Davis, California, USA.

Irena Acic (I)

Department of Communication, University of California, Davis, Davis, California, USA.

Laramie D Taylor (LD)

Department of Communication, University of California, Davis, Davis, California, USA.

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Classifications MeSH