profile pic

Clayton G

- Research Program Mentor

PhD Doctor of Philosophy


data science, computer science, computational linguistics, natural language processing, web scraping (Twitter) and analytics, probability theory, statistics, calculus

Project ideas

Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.

Detecting bots on Twitter

Now that computers are good enough to generate very convincing text completely on their own, people have become quite concerned about "fake news". In this project, we will investigate how easy it is to detect Tweets that have been written by computers in four steps: 1) Collect some data, some possibly labelled already as "fake". 2) Look at the statistical properties of "real" Tweets versus "fake" Tweets. 3) Write a computer program, for example a Naive Bayes classifier, for labelling new Tweets as "real" or "fake". 4) Evaluate how good the program is using a sensible metric.

Coding skills

Python (and Jupyter notebook), MATLAB, R, UNIX scripting, Java, C

Interested in working with expert mentors like Clayton?

Apply now