Suppr超能文献

网络喷子行为:反社会网络内容、社交媒体使用和性别因素的影响。

Online Trolling: The Impact of Antisocial Online Content, Social Media Use, and Gender.

机构信息

Postgraduate Program in Social Psychology, Federal University of Paraiba (Campus I), Joao Pessoa, Brazil.

Psychology Department, Catholic University of Pernambuco, Recife, Brazil.

出版信息

Psychol Rep. 2023 Jun;126(3):1416-1429. doi: 10.1177/00332941211055705. Epub 2022 Jan 11.

Abstract

The present study aimed to observe the relationships between online trolling, exposure to antisocial online content, frequency of social media use, and gender, using the GAM as a theoretical framework. Four hundred twenty-nine Brazilian internet users (mean = 25.07 years; SD = 7.59; EP = 0.36), most of whom were women (71.8%), participated in the survey. Bivariate correlations indicated a positive relationship between online trolling, exposure to antisocial online content (r = 0.12; < 0.01), Facebook use (r = 0.21; < 0.01), Twitter Use (r = 0.12; < 0.01), and gender (r = 0.15; < 0.01). An explanatory model including these variables was tested, and obtained a significant model fit (GFI = 0.99; Comparative Fit-Index = 0.99; Tucker Lewis Index = 0.97; Root Mean Square Residual = 0.02; RMSEA = 0.02 | CI = 0 .01-0.07 |). Were also observed indirect effects for exposure to antisocial online content through Twitter use and Facebook use on trolling (λ = 0.03; CI = 0.01-0.05; < 0.05). It is possible to conclude that the research objectives were fulfilled, emphasizing the role of situational variables in the understanding of online trolling.

摘要

本研究旨在使用 GAM 作为理论框架,观察网络喷子行为、接触反社会网络内容、社交媒体使用频率与性别之间的关系。共有 429 名巴西互联网用户(平均年龄 = 25.07 岁;标准差 = 7.59;EP = 0.36)参与了调查,其中大多数为女性(71.8%)。双变量相关性分析表明,网络喷子行为、接触反社会网络内容(r = 0.12; < 0.01)、Facebook 使用(r = 0.21; < 0.01)、Twitter 使用(r = 0.12; < 0.01)与性别(r = 0.15; < 0.01)之间呈正相关关系。检验了包括这些变量的解释模型,结果表明模型拟合度显著(GFI = 0.99;比较拟合指数 = 0.99;Tucker Lewis 指数 = 0.97;均方根残差 = 0.02;RMSEA = 0.02 | CI = 0.01-0.07 |)。还观察到接触反社会网络内容通过 Twitter 使用和 Facebook 使用对喷子行为的间接影响(λ = 0.03;CI = 0.01-0.05; < 0.05)。可以得出结论,研究目标得到了实现,强调了情境变量在理解网络喷子行为方面的作用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验