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Equally Safe Online

在线同样安全

基本信息

批准号：
EP/W025493/1
负责人：
Verena Rieser
金额：
$ 106.99万
依托单位：
Heriot-Watt University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2022
资助国家：
英国
起止时间：
2022 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FW025493%2F1
关键词：
Equally Safe Online

项目摘要

We address the timely topic of online gender-based violence (GBV): Almost 1 in every 2 women and non-binary people (46%) reported experiencing online abuse since the beginning of COVID-19 (Glitch report, 2020). Our aim is to create 'equally safe' online spaces by prevention, intervention and support for online GBV through the development of advanced Machine Learning algorithms. In contrast to previous research in this area, our team will include experts on GBV and online harassment to ensure that we frame the problem in a way which is most helpful to victims/survivors of GBV. In other words, we not only focus on *how* to automatically detect online abuse, but also re-think *what* it is we need to detect, how we can *support* the victims and how to *prevent* online GBV through promoting digital citizenship (i.e. prevention and intervention aimed at perpetrators and bystanders).Our methodology is based on the Scottish Government's Equally Safe strategy and implements a Responsible Innovation Approach in a close collaboration with 3rd sector charities with a long-standing track record in this domain. Our proposal aims to create the following impacts:1. Create longterm technical solutions to support safer online spaces, including advanced abuse detection tools, tools to automatically generate counter narratives aimed at perpetrators and bystanders, and a chatbot for providing proactive support to victims/survivors.2. Promote 'equitable' algorithms which are able to reflect multiple perspectives/viewpoints and not marginalise minority views;3. Increase digital literacy concerning the safe use of social media from an early age.

我们及时讨论了基于性别的网络暴力问题：自2019冠状病毒病开始以来，几乎每2名女性和非二元性别人群中就有1人（46%）报告遭受过网络虐待（Glitch报告，2020年）。我们的目标是通过开发先进的机器学习算法，通过预防、干预和支持在线性别暴力，创造“同样安全”的在线空间。与之前在该领域的研究不同，我们的团队将包括性别暴力和网络骚扰方面的专家，以确保我们以对性别暴力受害者/幸存者最有帮助的方式来构建问题。换句话说，我们不仅专注于“如何”自动侦测网路暴力，也要重新思考我们需要侦测“什么”、我们如何“支持”受害者，以及如何透过提升数位公民身分（即针对施暴者与旁观者的预防与干预）来“预防”网路性别暴力。我们的方法是基于苏格兰政府的同等安全战略，并在与第三部门慈善机构密切合作中实施负责任的创新方法，并在该领域拥有长期的记录。我们的提案旨在产生以下影响：创建长期的技术解决方案，以支持更安全的在线空间，包括先进的滥用检测工具，自动生成针对肇事者和旁观者的反叙述的工具，以及为受害者/幸存者提供主动支持的聊天机器人。2 .促进“公平”的算法，能够反映多种观点/观点，而不会边缘化少数人的观点；从小提高有关安全使用社交媒体的数字素养。