It depends: Exploring the role of context in subjective experiences of social media-enabled harms

许多人在日常生活中花费大量的时间在网上交流。儿童和青少年比成年人更有可能参与网络社交活动，这使他们从很小的时候就能与任何人、在任何地方交流。这些用户可能没有意识到他们在网上的言行正在伤害他人，而那些在网上暴露于这种反社会行为的人可能会感到无法摆脱对他们精神健康有害的情况。心理学和社会科学的研究表明，与在线接触有关的负面经历会对用户的心理健康产生有害影响，并可能反过来鼓励某些类型的反社会行为。虽然所有用户都可以并且应该关心他们在网上与谁交往，但这个项目关注的是那些可能对在线内容和接触有特定关注的用户群体，比如父母、青少年和儿童。这个项目有可能帮助那些表现出反社会行为的用户参与更多的亲社会行为，并防止其他人受到有害行为的影响。这项研究的核心是开发一种工具，使用户能够更好地控制他们在网络空间中的联系方式。它结合了心理学、学习科学、语言学和计算机科学的研究，以探索能够在实时在线交互环境中识别特定威胁的自动化解决方案。具体来说，将使用对话中的单词使用模式分析来评估用户的在线对话是否显示反社会特征。这些方法将与机器学习相结合，创造出可以随着对话展开而部署的工具。这项研究的最终目的是提供两种互补的措施，使在线交流更安全：一方面，它将产生工具，为那些谈话显示出特定类型行为特征的个人提供实时教育干预，比如网络欺凌。另一方面，当对话升级到用户认为不受欢迎的程度时，它将为寻求保护自己和他们所照顾的人（例如父母和孩子）的用户提供通知系统。该项目属于EPSRC数字经济研究领域，其中信任、身份、隐私和安全是本网站https://www.epsrc.ac.uk/research/ourportfolio/themes/列出的主题或研究领域之一。

Many people spend a significant amount of their daily lives communicating with one another online. Children and teenagers are significantly more likely than adults to engage socially online, enabling them to communicate with anyone, anywhere from a very young age. These users may be unaware that they are harming others by their words and actions online, while those exposed to such antisocial behaviour online may feel unable to remove themselves from situations detrimental to their mental wellbeing.Research in psychology and the social sciences has shown that negative experiences with online contact can have deleterious effects on users' mental health and may in turn encourage certain types of antisocial behaviours. While all users can and should be concerned about who they engage with online, this project focuses on groups of users who are likely to have specific concerns about exposure to online content and contact, such as parental figures, teenagers, and children. This project has the potential to both help users who exhibit antisocial conduct to engage in more prosocial behaviour, and to prevent others from being subjected to harmful behaviours.At its core, this research seeks to develop tools that afford users greater control over the contact they experience in online spaces. It combines research from psychology, learning sciences, linguistics, and computer science in order to explore automated solutions that can identify specific threats within the context of online interactions in real time. Specifically, pattern analysis of word use in conversations will be used to assess whether a user's online conversation displays antisocial characteristics. These methods will be combined with machine learning to create tools that can be deployed as conversations unfold.The ultimate purpose of this research is to provide two complimentary measures to make online communication safer: On the one hand, it will produce tools that provide real-time educational interventions to individuals whose conversations display traits of specific types of conduct, such as cyberbullying. On the other, it will provide users seeking to protect themselves and those under their care (e.g. parents and children) with a notification system when conversations escalate to levels that the users deem undesirable.This project falls within the EPSRC Digital Economy research area where Trust, identity, Privacy and Security is one of the themes or research areas listed on this website https://www.epsrc.ac.uk/research/ourportfolio/themes/.