分析右翼YouTube渠道：仇恨，暴力和歧视
Analyzing Right-wing YouTube Channels: Hate, Violence and Discrimination
摘要：
截至2018年，主要的在线视频分享网站YouTube拥有多个宣传右翼内容的频道。在本文中，我们观察了包含7，000多个视频和1700万条评论的数据集中与仇恨，暴力和歧视性偏见有关的问题。我们调查的相似之处和差异之间的用户的评论和视频内容的右翼渠道的选择，并将其与基线设置使用三层的方法，其中我们分析（a）词汇，（b）主题和（c）隐含的偏见存在于文本中。在其他结果中，我们的分析表明，右翼频道倾向于（a）包含更高程度的“负面”语义场的单词，（b）提出更多与战争和恐怖主义相关的话题，（c）对穆斯林（在视频中）和对LGBT人群（在评论中）表现出更多的歧视性偏见。我们的发现不仅揭示了YouTube社区推广和消费右翼内容的集体行为，还揭示了YouTube用户的一般行为。
英文摘要：
As of 2018, YouTube, the major online video sharing website, hosts multiple channels promoting right-wing content. In this paper, we observe issues related to hate, violence and discriminatory bias in a dataset containing more than 7,000 videos and 17 million comments. We investigate similarities and differences between users' comments and video content in a selection of right-wing channels and compare it to a baseline set using a three-layered approach, in which we analyze (a) lexicon, (b) topics and (c) implicit biases present in the texts. Among other results, our analyses show that right-wing channels tend to (a) contain a higher degree of words from "negative" semantic fields, (b) raise more topics related to war and terrorism, and (c) demonstrate more discriminatory bias against Muslims (in videos) and towards LGBT people (in comments). Our findings shed light not only into the collective conduct of the YouTube community promoting and consuming right-wing content, but also into the general behavior of YouTube users.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
