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
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