亚美尼亚脸书用户仇恨言论分析

L. Bekaryan
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引用次数: 1

摘要

社交媒体网站已经成为用户不仅可以分享他们的照片、快乐时刻、成功故事和最佳实践的平台,还可以表达他们的批评、不满和负面情绪。有趣的是,一开始仅仅是利益或价值观冲突的分歧或冲突,如何发展成Facebook上基于性别、宗教信仰、种族、性取向、政治信仰等针对社交媒体用户的仇恨交流。目前的研究探讨了仇恨的帖子和评论是如何在Facebook用户中开始的,并研究了它们设计中使用的语言手段。这些事实材料是从2018-2020年期间亚美尼亚媒体专家、记者、政治家和博客作者等受欢迎的亚美尼亚人管理的10多个开放的Facebook页面中检索的。从这些来源中提取的仇恨言论样本分析显示,仇恨言论可以在亚美尼亚Facebook用户的在线交流中找到其显性和隐性的反映,并且可以通过隐形,煽动暴力,谩骂和即时性等上下文标记来表征。对包含仇恨言论的帖子和评论的语言分析有助于识别仇恨评论的语言特征,包括非正式语气、被动语态的使用、辱骂和贬损词汇、修辞或间接形成的问题、概括和标签。
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An Analysis of Hate Speech among Armenian Facebook Users
Social media networking websites have become platforms where users can not only share their photos, moments of happiness, success stories and best practices, but can also voice their criticism, discontent and negative emotions. It is interesting to follow how something that starts as a mere disagreement or conflict over clashing interests or values can develop into a hateful exchange on Facebook that targets social media users based on their gender, religious belonging, ethnicity, sexual orientation, political convictions etc. The present research explores how hateful posts and comments can start among Facebook users, and studies the language means employed in their design. The factual material was retrieved from more than ten open Facebook pages managed by popular Armenian figures, such as media experts, journalists, politicians and bloggers, in the period 2018–2020. The analysis of hate speech samples extracted from these sources shows that hate speech can find its explicit and implicit reflection in the online communication of Armenian Facebook users, and can be characterised by contextual markers such as invisibility, incitement to violence, invectiveness and immediacy. The language analysis of the posts and comments comprising hate speech has helped to identify language features of hateful comments including informal tone, use of passive voice, abusive and derogatory words, rhetorical or indirectly formed questions, generalisations and labelling.
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