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

该项目将探索基于模型的方法对理解数字世界中亲社会和反社会行为的出现所做出的贡献。它将利用群体过程和社会影响的心理学研究来开发和测试探索攻击升级或降级的动态模型。它将特别关注网络挑衅、网络欺凌和“数字主义”等现象。它将研究“第三方”在消极行为的延续中所起的作用，以及在数字接触中促进积极行为的作用。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，如果我们想了解网络攻击的轨迹，不仅要知道人们可能会如何行动，还要知道他们什么时候行动，这是否很重要。我们将探讨第三方对攻击的特定时间反应模式是否能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，该研究小组已经模拟了闭路电视摄像机捕捉到的公共场所的攻击性互动。该项目适合具有心理学/动物行为背景，对基于模型的方法的应用感兴趣的候选人，或者具有计算机科学/数学背景，对社会心理现象感兴趣的候选人。

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.