Personal profile

Research interests

Alicia is a postdoctoral research associate using innovative computational methods to study online harm. Her research focuses on understanding the social psychological mechanisms that underlie different types of harm that are caused by online activity. This research is notably broad and encompasses both collective level harms from disinformation and algorithmic biases, as well as more individualistic harms from activities such as cyberbullying and online harassment.

Alicia completed her Social Psychology PhD at the University of Exeter in 2021, where her focus was on testing social psychological theories using machine learning and natural language processing techniques. Specifically, she was looking at how group members use linguistic style to enact and express their social identities online, and moreover how we can use patterns in linguistic behaviour to understand social influence processes. 

Alicia is also a visiting researcher at the Alan Turing Institute in London where she combines social psychological theory with advanced data science techniques. She has worked on a variety of projects including using Twitter data to map the public perception of coronavirus restrictions in May 2020, as well as working on modelling the development of online hate speech. 


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

External positions

Visiting Researcher , The Alan Turing Institute

1 Oct 201931 Dec 2021


  • Social Psychology
  • Social identity
  • Natural Language Processing
  • Psychology
  • Online Harms
  • Machine Learning


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Collaborations and top research areas from the last five years

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