政治Gendertrolling

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Pnina Fichman, Gordon Amidu
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引用次数: 0

摘要

网络上的政治性别喷子很普遍,虽然研究表明女性比男性更常被喷子攻击,而男性比女性更常被喷子攻击,但目前尚不清楚同性和跨性别的攻击对象在政治性别喷子攻击方面是否存在差异。为了解决这一差距,本研究首先考察了性别喷子的范围和风格。然后,它测试基于犯罪者和目标的性别和目标的政治派别的变化。我们使用二乘二因子设计,采用四对施暴者-目标性别(女性/女性、女性/男性、男性/女性、男性/男性),对20位政治家(男性/女性、民主党/共和党)在Facebook上发布的40条帖子中的4000条恶意评论进行了内容分析。研究发现,基于加害人和被加害人的性别以及被加害人的政治派别,性别喷子行为的主效应和交互效应显著。女性对男性的挑衅风格不同于主流的挑衅风格,而且不考虑行凶者的性别,女性对民主党人的挑衅风格也不同于对其他目标的挑衅风格。然而,我们发现在四种性别条件中,政治性别挑衅的程度没有显著的主效应或交互效应,也没有基于目标的政治派别。本文为性别骚扰文献提供了证据,证明了同性和跨性别犯罪者-目标对之间的复杂关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Political Gendertrolling
Online political gendertrolling is widespread, and while research shows that women are trolled more often than men, and that men troll more often than women, it is unclear if there is a difference in political gendertrolling between same- and cross-gender pairs of perpetrator-target. To address this gap, this study first examines the extent and style of gendertrolling. Then, it tests for variations based on the perpetrator’s and target’s gender and the target’s political affiliation. Using a two-by-two factorial design, with four perpetrator-target gender pairs (Women/Women, Women/Men, Men/Women, Men/Men), we performed a content analysis of 4,000 trolling comments on 40 Facebook posts that were made by 20 politicians (Men/Women, Democrats/Republicans). We found significant main and interaction effects in gendertrolling style based on the perpetrator’s and target’s genders and the target’s political affiliation. Women’s trolling styles toward men differed from the dominant trolling style, and regardless of perpetrator gender, the gendertrolling style towards women Democrats differed from the style used towards the other targets. However, we found no significant main or interaction effects in the extent of political gendertrolling in any of the four gender conditions, nor based on target’s political affiliation. Contributing to gendertrolling literature, this paper provides evidence of the complex relationships between same- and cross-gender perpetrator-target pairs.
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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