Understanding the Nature and Impact of Online Hate Speech Victimisation

这项研究调查了英国网络仇恨言论对受害者的影响。一项Galop LGBT+研究发现：跨性别、非二元性和双性人遭受更频繁的网络仇恨言论，这些言论通常更严重、更具威胁性，影响和后果更大（Stray 2017）。本研究的影响将与其他类型的网络仇恨进行比较，如种族主义和ableist仇恨言论，并密切关注交叉性（Koyama 2006）。这项研究的目的是创建一个在线仇恨言论伤害指数，从而更好地了解在线仇恨言论的受害者，以及如何改进犯罪报告。至关重要的是，它将提供一种对网络仇恨进行分类的方法，从而制定应对策略。我拥有丰富的媒体工作经验，包括管理BBC黄金时段电视节目的社交媒体账户，这为这项研究带来了独特的视角。这项研究可以扩展到几个领域，从使用我对大型组织如何运作的见解，缓和和监管这样的平台，到关注群体内的仇恨言论(例如跨医学主义者vs。1)“trans-trenders”。由于对性别不同的人的网络仇恨经历进行的具体研究很少，因此本研究的结果将做出宝贵的原创性贡献，解决当前学术知识的这一空白。预计该项目的成果将涉及社会数据科学、社会政策和社会学等多个领域。伤害指数首先有利于网络仇恨的受害者，帮助他们了解如何识别和报告此类犯罪。其次，该指数将使立法者能够执行立法，像推特这样的公司将有更明确的责任来处理网络仇恨。这项重要的研究将为评价和指导这些战略提供经验基础。这项研究的结果可以用来为政策制定者、Galop等第三部门组织和警察提供有用的建议，并有助于为这一弱势群体提供足够的支持。

This research examines the effects of transphobic online hate speech on victims in the UK. A Galop LGBT+ study found: Trans, non-binary and intersex people were subjected to more frequent online hate speech, which was generally more severe, more threatening, and had greater impact and consequences (Stray 2017) The impacts of this research will be compared with other kinds of online hate, such as racist and ableist hate speech, keeping a keen eye on intersectionality (Koyama 2006).The purpose of this research is to create an online hate speech harms index, leading to a greater understanding of online hate speech victimisation and how crime reporting could be improved. It will crucially offer a way to categorise online hate and therefore develop strategies against it.Bringing a unique perspective to this research, I have varied experience working in media, including managing social media accounts for a BBC prime-time TV show. This research could branch into several areas, from using my insight regarding how large organisations operate, moderate and police such platforms, to a focus on in-group hate speech (e.g. transmedicalists vs. 'trans-trenders'1).As little specific research has been undertaken on gender diverse people's experience of online hate, the results of this research will make a valuable original contribution, addressingthis gap in current academic knowledge. It is anticipated the outcomes of this project will have relevance to several areas including social data science, social policy and sociology.An index of harms will firstly benefit the victims of online hate, in understanding how to recognise and report such crimes. Secondly the index will enable lawmakers to enforcelegislation and companies like Twitter will have a clearer responsibility for tackling online hate.This vital research will provide an empirical base on which to evaluate and steer such strategies.The findings of this research could be used to inform recommendations useful to policymakers, third sector organisations such as Galop and the police and would facilitate the provision of adequate support to this vulnerable group.