{"title":"揭示有争议的科学话语中的性别陈规定型观念:跨数字平台的计算文本和视觉分析证据","authors":"Kaiping Chen, Zening Duan, Sang Jung Kim","doi":"10.1093/jcmc/zmad052","DOIUrl":null,"url":null,"abstract":"This study examines how gender stereotypes are reflected in discourses around controversial science issues across two platforms, YouTube and TikTok. Utilizing the Social Identity Model of Deindividuation Effects, we developed hypotheses and research questions about how content creators might use gender-related stereotypes to engage audiences. Our analyses of climate change and vaccination videos, considering various modalities such as captions and thumbnails, revealed that themes related to children and health often appeared in videos mentioning women, while science misinformation was more common in videos mentioning men. We observed cross-platform differences in portraying gender stereotypes. YouTube’s video descriptions often highlighted women-associated moral language, whereas TikTok emphasized men-associated moral language. YouTube’s thumbnails frequently featured climate activists or women with nature, while TikTok’s thumbnails showed women in Vlog-style selfies and with feminine gestures. These findings advance understanding about gender and science through a cross-platform, multi-modal approach and offer potential intervention strategies.","PeriodicalId":48319,"journal":{"name":"Journal of Computer-Mediated Communication","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncovering gender stereotypes in controversial science discourse: evidence from computational text and visual analyses across digital platforms\",\"authors\":\"Kaiping Chen, Zening Duan, Sang Jung Kim\",\"doi\":\"10.1093/jcmc/zmad052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines how gender stereotypes are reflected in discourses around controversial science issues across two platforms, YouTube and TikTok. Utilizing the Social Identity Model of Deindividuation Effects, we developed hypotheses and research questions about how content creators might use gender-related stereotypes to engage audiences. Our analyses of climate change and vaccination videos, considering various modalities such as captions and thumbnails, revealed that themes related to children and health often appeared in videos mentioning women, while science misinformation was more common in videos mentioning men. We observed cross-platform differences in portraying gender stereotypes. YouTube’s video descriptions often highlighted women-associated moral language, whereas TikTok emphasized men-associated moral language. YouTube’s thumbnails frequently featured climate activists or women with nature, while TikTok’s thumbnails showed women in Vlog-style selfies and with feminine gestures. These findings advance understanding about gender and science through a cross-platform, multi-modal approach and offer potential intervention strategies.\",\"PeriodicalId\":48319,\"journal\":{\"name\":\"Journal of Computer-Mediated Communication\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer-Mediated Communication\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1093/jcmc/zmad052\",\"RegionNum\":1,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer-Mediated Communication","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1093/jcmc/zmad052","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
Uncovering gender stereotypes in controversial science discourse: evidence from computational text and visual analyses across digital platforms
This study examines how gender stereotypes are reflected in discourses around controversial science issues across two platforms, YouTube and TikTok. Utilizing the Social Identity Model of Deindividuation Effects, we developed hypotheses and research questions about how content creators might use gender-related stereotypes to engage audiences. Our analyses of climate change and vaccination videos, considering various modalities such as captions and thumbnails, revealed that themes related to children and health often appeared in videos mentioning women, while science misinformation was more common in videos mentioning men. We observed cross-platform differences in portraying gender stereotypes. YouTube’s video descriptions often highlighted women-associated moral language, whereas TikTok emphasized men-associated moral language. YouTube’s thumbnails frequently featured climate activists or women with nature, while TikTok’s thumbnails showed women in Vlog-style selfies and with feminine gestures. These findings advance understanding about gender and science through a cross-platform, multi-modal approach and offer potential intervention strategies.
期刊介绍:
The Journal of Computer-Mediated Communication (JCMC) has been a longstanding contributor to the field of computer-mediated communication research. Since its inception in 1995, it has been a pioneer in web-based, peer-reviewed scholarly publications. JCMC encourages interdisciplinary research, welcoming contributions from various disciplines, such as communication, business, education, political science, sociology, psychology, media studies, and information science. The journal's commitment to open access and high-quality standards has solidified its status as a reputable source for scholars exploring the dynamics of communication in the digital age.