{"title":"曲面和子层级仇恨","authors":"Luke Munn","doi":"10.1177/20539517221148136","DOIUrl":null,"url":null,"abstract":"On the face of it, contemporary “alt-tech” platforms appear more moderate than legacy hate havens. Yet it's also clear that virulent hate in the form of misogyny, white supremacy, and xenophobia has not disappeared. Probing this tension, this article conceptualizes two forms of hate: Surface “Hate” (moderate content that is highly visible and easily accessible) and Sublevel Hate (explicit content that is more marginal and less discernible). These terms are illustrated by examining several viral videos on Rumble. This twinned mechanism explains how alt-tech platforms can be both accessible and extreme at the same time. Stratified hate is strategic, heightening the appeal and durability of online communities. Recognizing this dangerous dynamic is key for interventions seeking to counter it.","PeriodicalId":47834,"journal":{"name":"Big Data & Society","volume":" ","pages":""},"PeriodicalIF":6.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Surface and Sublevel Hate\",\"authors\":\"Luke Munn\",\"doi\":\"10.1177/20539517221148136\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"On the face of it, contemporary “alt-tech” platforms appear more moderate than legacy hate havens. Yet it's also clear that virulent hate in the form of misogyny, white supremacy, and xenophobia has not disappeared. Probing this tension, this article conceptualizes two forms of hate: Surface “Hate” (moderate content that is highly visible and easily accessible) and Sublevel Hate (explicit content that is more marginal and less discernible). These terms are illustrated by examining several viral videos on Rumble. This twinned mechanism explains how alt-tech platforms can be both accessible and extreme at the same time. Stratified hate is strategic, heightening the appeal and durability of online communities. Recognizing this dangerous dynamic is key for interventions seeking to counter it.\",\"PeriodicalId\":47834,\"journal\":{\"name\":\"Big Data & Society\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Big Data & Society\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/20539517221148136\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Data & Society","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/20539517221148136","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
On the face of it, contemporary “alt-tech” platforms appear more moderate than legacy hate havens. Yet it's also clear that virulent hate in the form of misogyny, white supremacy, and xenophobia has not disappeared. Probing this tension, this article conceptualizes two forms of hate: Surface “Hate” (moderate content that is highly visible and easily accessible) and Sublevel Hate (explicit content that is more marginal and less discernible). These terms are illustrated by examining several viral videos on Rumble. This twinned mechanism explains how alt-tech platforms can be both accessible and extreme at the same time. Stratified hate is strategic, heightening the appeal and durability of online communities. Recognizing this dangerous dynamic is key for interventions seeking to counter it.
期刊介绍：
Big Data & Society (BD&S) is an open access, peer-reviewed scholarly journal that publishes interdisciplinary work principally in the social sciences, humanities, and computing and their intersections with the arts and natural sciences. The journal focuses on the implications of Big Data for societies and aims to connect debates about Big Data practices and their effects on various sectors such as academia, social life, industry, business, and government.
BD&S considers Big Data as an emerging field of practices, not solely defined by but generative of unique data qualities such as high volume, granularity, data linking, and mining. The journal pays attention to digital content generated both online and offline, encompassing social media, search engines, closed networks (e.g., commercial or government transactions), and open networks like digital archives, open government, and crowdsourced data. Rather than providing a fixed definition of Big Data, BD&S encourages interdisciplinary inquiries, debates, and studies on various topics and themes related to Big Data practices.
BD&S seeks contributions that analyze Big Data practices, involve empirical engagements and experiments with innovative methods, and reflect on the consequences of these practices for the representation, realization, and governance of societies. As a digital-only journal, BD&S's platform can accommodate multimedia formats such as complex images, dynamic visualizations, videos, and audio content. The contents of the journal encompass peer-reviewed research articles, colloquia, bookcasts, think pieces, state-of-the-art methods, and work by early career researchers.
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