Normative Transgressions of Cheaters in Online Competitive Games

网络竞技游戏中作弊者的违规行为

基本信息

批准号：
1938097
负责人：
金额：
--
依托单位：
University of Oxford
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1938097
关键词：
Normative Transgressions Cheaters Online Competitive

项目摘要

Cheating is a widespread phenomenon within gaming that has lacked attention in academia. Despite the prevalence of cheating and its recognised negative impacts, there is a lack of understanding in how the cheat resources are shared and facilitated at a communal level. The following research examines the governance mechanism of cheating communities in online multiplayer games. It is an exploratory research that sets out to identify and analyse the elements that support cheating in an online game. The main research question is: How do cheating communities govern themselves? We design our studies based on the framework that we draw from the existing concepts of self-governance from social and political science spheres. Our methods encompass both qualitative and quantitative data collection and analysis methods as a way to access relevant users and resources present in the community. This research embarks the first academic investigation to apply the angle of community on the game cheating phenomenon. It focuses on how cheating evolves as a product of a systematic, communal work rather than as an individual act. The findings will suggest wider social implications of cheating, and inform private companies and law enforcements who are looking for innovative ways to tackle the issues arising from cheating. They will also guide future studies in human-computer interaction that analyse online communities that are covert by nature.

作弊是游戏中广泛的现象，在学术界缺乏关注。尽管作弊及其公认的负面影响的普遍性，但在公共层面上如何共享和促进作弊资源方面缺乏了解。以下研究研究了在线多人游戏中作弊社区的治理机制。这是一项探索性研究，旨在识别和分析支持在线游戏中作弊的元素。主要的研究问题是：作弊社区如何管理自己？我们基于从社会和政治科学领域的现有自治概念中汲取的框架来设计研究。我们的方法涵盖了定性和定量数据收集和分析方法，以访问社区中存在的相关用户和资源。这项研究开始了首次将社区角度应用于游戏作弊现象的学术调查。它着重于作弊如何作为系统的，公共工作的产物而不是个人行为。这些发现将暗示作弊的更广泛的社会影响，并向私人公司和执法通知，他们正在寻找创新的方法来解决作弊问题。他们还将指导未来的人类计算机互动研究，这些研究分析了本质上秘密的在线社区。