Computational Study on Organised Cyberbullying in Online Communities

在线社区有组织网络欺凌的计算研究

• 批准号: ES/W010682/1
• 负责人: Habin Lee
• 金额: $ 6.35万
• 依托单位: Brunel University London
• 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: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FW010682%2F1
• 关键词: Computational; Study; Organised; Cyberbullying; Online

The major tasks of the proposed collaboration program include: 1) the scoping study of process analytics of organised cyberbullying behaviours in OCs; 2) training ESRs; and 3) organizing knowledge exchange events. Scoping Study. The task aims at conducting scoping study for applying computational process analytics for developing process view of cyberbullying behaviours in online communities. An online community archive data from a Korean celebrity online community, which the collaboration team owns, will be used for the study. The deliverable of this task is D1, a grant proposal entitled "A Study on Organised Cyberbullying in Online Communities" and to be delivered in month 18. There are 5 main sub-tasks (STs) to deliver a grant proposal. ST 1 conducts a systematic literature review on cyberbullying in Internet. The scientific databases in Information Systems, Organisational Behaviour, Computer Science, Psychology, and Healthcare Management will be searched to identify related studies. The outcome is the related studies and the confirmation of the scientific novelty of the proposed research. ST 2 is to design the framework to address three research questions based on critical realism. A computational social science framework based on critical realism will be used as the basic framework. In the framework, a text mining tool will be integrated to identify articles with regards to organised cyberbullying. The selected articles will be further analysed for coding involved actors, their positions, and their networks. A sequence analytics tool like TraMiner (http://traminer.unige.ch/) will be used for identifying patterns of interactions among community members. The framework is expected to provide static (network model) and dynamic (evolution of patterns) view of organised cyberbullying behaviours. In ST 3, the framework will be applied to the OC archive data to evaluate the usability of the framework. Also, the team will develop guidelines to develop process theories based on the computational analysis results using the framework. ST 4 will analyse scientific and practical impact of the proposed framework. Target industry and stakeholders who will be beneficiary of the framework will be identified and the scenarios of the use of framework to generate values for them will be developed. Finally, ST 5 will summarise the findings of each STs as a grant proposal for the larger scale study to generalise the usability of the framework in different OCs. Training of ESRs. This task consists of activities to train ESRs including the assessment of the training needs of individual ESR, designing training sessions, delivery of training contents, and establishing feedback loops to ensure the training needs are met at the end of the course. The training sessions will be delivered through online and on-site events. On-site training sessions will be delivered at four workshops organized at UBRUN (month 4, 12) and YSU (month 8, 16). Knowledge Exchange Seminars. This task includes activities to organise monthly online seminars between UBRU and YSU teams. UBRUN and YSU staff members will present their research outcomes in relation with Scoping Study. Also, external experts working on the cyberbullying in OCs as well as methods applied in the study will be invited for integrating their knowledge into the scoping study outcomes.

拟议合作计划的主要任务包括：1）对法团有组织网络欺凌行为的过程分析进行范围研究; 2）培训ESRs;以及3）组织知识交流活动。范围研究。该任务旨在进行范围研究，以应用计算过程分析来开发在线社区中网络欺凌行为的过程视图。该合作团队拥有的韩国名人在线社区的在线社区档案数据将用于本研究。这项任务的交付成果是D1，一份题为“网上社区有组织网络欺凌研究”的拨款建议书，将于18个月交付。有5个主要的子任务（ST）来提供赠款提案。ST 1对互联网中的网络欺凌进行了系统的文献回顾。信息系统，组织行为，计算机科学，心理学和医疗保健管理的科学数据库将被搜索，以确定相关的研究。结果是相关研究和确认拟议研究的科学新奇。第二部分是基于批判现实主义理论，对三个研究问题进行框架设计.一个基于批判实在论的计算社会科学框架将被用作基本框架。在该框架中，将整合文本挖掘工具，以识别有关有组织网络欺凌的文章。将对所选文章进行进一步分析，以便对所涉行为者、其立场及其网络进行编码。将使用TraMiner（http：//traminer.unige.ch/）等序列分析工具来确定社区成员之间的相互作用模式。该框架预计将提供有组织的网络欺凌行为的静态（网络模型）和动态（模式的演变）视图。在ST 3中，该框架将应用于OC存档数据，以评估该框架的可用性。此外，该小组将制定指导方针，以开发基于计算分析结果的过程理论使用的框架。ST 4将分析拟议框架的科学和实际影响。将确定受益于框架的目标行业和利益相关者，并制定使用框架为他们创造价值的情景。最后，第五阶段研究会总结各阶段研究的结果，作为更大规模研究的拨款建议，以概括不同法团的架构可用性。培训ESRs。这项工作包括培训环境影响评价员的活动，包括评估个别环境影响评价员的培训需求、设计培训课程、提供培训内容，以及建立反馈循环，以确保在课程结束时满足培训需求。培训课程将通过在线和现场活动提供。现场培训课程将在UBRUN（第4、12个月）和YSU（第8、16个月）组织的四个研讨会上进行。知识交流研讨会。这项任务包括组织UBRU和YSU团队之间的每月在线研讨会的活动。UBRUN和YSU的工作人员将介绍他们与范围研究有关的研究成果。此外，将邀请外部专家研究法团中的网络欺凌以及研究中应用的方法，将他们的知识融入范围研究成果。