Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Canfer Alisa Akbulut

Research Assistant

Research Interests

I am interested in exploring self-expressive and relationship-building communication on the internet. I use methods from data mining, machine learning, and natural language processing on data from social media to explore the evolution of people's beliefs, thoughts, and feelings. In previous research, I have investigated the influence of expressing shared opinions on the spread of extreme sentiment on online forums. 

I graduated summa cum laude from Columbia University with a degree in Psychology and a specialization in Statistics. As an undergraduate, I was involved in researching: shared reality at the Higgins Lab at Columbia; dyadic synchrony using EEG methods at the Behavioral Research Laboratory at Columbia Business School; markers of suicidality in adolescent language at the Laboratory of Clinical and Developmental Studies, Teacher's College, Columbia University; and acquisition of numerical knowledge in toddlers at Harvard.

At Oxford, I am applying topic modeling and semantic similarity measures to explore whether self-expressions of autistic people on social media are better represented by communication from autistic self-advocacy groups or registered autism charities.