Paul is a DPhil student in Social Data Science. His research is concerned with improving natural language processing methods for hate speech detection and other applications.
Paul Röttger is a student on the DPhil in Social Data Science.
Paul’s research focuses on adapting natural language processing methods to address linguistic challenges in online hate speech detection and other applications, for instance by combining language and graph representation models to better account for context dependence in meaning. His wider research interests are in political expression on the internet and applied machine learning.
Prior to joining the OII in 2019, Paul completed his MPhil in Finance and Economics at the University of Cambridge, where he received a distinction for his thesis using machine learning methods to predict local voting behaviour from online political participation. He also holds a BSc in Economics from Ludwig-Maximilians-University in Munich, Germany.
Positions held at the OII
- DPhil student: October 2019 – present
- Teaching Assistant, Digital Social Research: Statistics Core : October 2019 – December 2019
- Teaching Assistant, Advanced Statistics for Internet Research I and II : January 2020 – March 2020
4 June 2021 MIT Technology Review
But scientists are getting better at measuring where each system fails.