Higher Degree by Research Candidate
School of Mathematical Sciences
Faculty of Engineering, Computer and Mathematical Sciences
There is a growing crisis of misinformation online and comes in many forms, from rumours spreading through Facebook to politicians tweeting lies. Sometimes, the misinformation becomes part of real news, spreading around the world; that's when we're really in trouble.
My research focuses on understanding how information flows between news sources. It involves turning the words we use into numbers and using those numbers to allow computers to understand them. Using lots of big data and maths to handle it, we can figure out what pieces of information are going where, and how it changes them.
There is more and more news everyday, and social media is only getting bigger. To fix our 'Fake News' crisis we need to invent new maths to helps us fixs the cracks, and I'm trying to do that.
Year Citation 2019 Nguyen, A., South, T., Bean, N., Tuke, S. J., & Mitchell, L. (2019). Podlab at SemEval-2019 Task 3: The Importance of Being Shallow. In Proceedings of the 13th International Workshop on Semantic Evaluation (pp. 292-296). online: The Association for Computational Linguistics.
Year Citation — South, T., Roughan, M., & Mitchell, L. (n.d.). Popularity and Centrality in Spotify Networks: Critical transitions in
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