ProSocial and AntiSocial (This page is live) Behaviour in Digital Worlds: a model based approach

这个项目将探索基于模型的方法对理解数字世界中亲社会行为和反社会行为的出现所能做出的贡献。它将利用群体过程和社会影响心理学的研究来开发和测试模型，探索攻击性升级或降级的动态。它将特别关注诸如巨魔、网络欺凌和数字反歧视等现象。在这个项目中，你将学习如何分析数字数据中的时间序列。我们会问，如果我们想要了解在线攻击的轨迹，不仅要知道人们可能会如何行动，而且还要知道他们什么时候行动，这是否很重要。我们将探索第三方对攻击性反应的特定时间模式是否预测亲社会或反社会的结果。该项目将建立在研究小组现有工作的基础上，该小组已经对闭路电视摄像机捕捉到的公共场所的攻击性互动进行了建模。该项目既适合对基于模型的方法理解社会行为的应用感兴趣的心理学/动物行为背景的候选人，也适合对社会心理现象感兴趣的计算机科学/数学背景的候选人。

This project will explore the contribution that a model based approach can make to understanding the emergence of bothprosocialand antisocialbehaviour in digital worlds. It will draw on research in the psychology of group processes andsocial influence to develop and test models that explore the dynamics of the escalation or deescalationof aggression. Inparticular it will focus on phenomena like trolling, cyberbullyingand 'digitalantism'. It will examine the role that 'thirdparties' play in the perpetuation of negative behaviours, but also the promotion of positive behaviours in digital encounters.In this project you will learn about analysing temporal sequences in digital data. We will ask if it is important to know notonly how people might act, but also when they act, if we want to understand the trajectory of aggression online. We willexplore whether particular temporal patterns of third party responses to aggression predict prosocialor antisocialoutcomes. The project will build on existing work in the research group that has modelled aggressive interactions in publicspaces captured on CCTV cameras.The project would suit either a candidate with a psychology/animal behaviour background interested in the application of amodel based approach to understanding social behaviour - or a candidate with a computer science/mathematicsbackground interested in social psychological phenomena.