{"title":"政治Gendertrolling","authors":"Pnina Fichman, Gordon Amidu","doi":"10.1177/08944393251343930","DOIUrl":null,"url":null,"abstract":"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 <jats:italic>style</jats:italic> 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 <jats:italic>extent</jats:italic> 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.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"56 1","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Political Gendertrolling\",\"authors\":\"Pnina Fichman, Gordon Amidu\",\"doi\":\"10.1177/08944393251343930\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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 <jats:italic>style</jats:italic> 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 <jats:italic>extent</jats:italic> 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.\",\"PeriodicalId\":49509,\"journal\":{\"name\":\"Social Science Computer Review\",\"volume\":\"56 1\",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-06-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Social Science Computer Review\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/08944393251343930\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Science Computer Review","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/08944393251343930","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
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.
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.