Lead a project creating an annotated dataset for automated classification of online misogyny. Publication under review.
Preliminary results on network apporaches to 'echo chamber-ness' on Reddit . Presented at Sunbelt Social Networks Conference 2019
Preliminary results on measuring 'echo chamber-ness' of subreddits. Working paper '(Anti) Echo Chamber Participation: Examing Contributor Activity Beyond the Chamber' presented at Social Media + Society 2018.
Currently a researcher on the project Hate Speech: Measures and Counter-Measures where I focus on online misogyny. Part of the Public Policy Programme at the Alan Turing Institute, the UK's national institue for data science and artifical intelligence
The CDEI is an advisory body to the UK Government on data-driven technology. I worked on the online targeting team to review existing regulatory frameworks and laws to develop policy recommendations for government on social media targeting
Worked on the Audience Engagement team for online news. Considering the role of filter bubble effects on news recommender systems
My thesis examined the empirical evidence of echo chamber behaviours on Reddit. I received an ESRC funded studentship in the Social Statistics department and was a member of the Mitchell Centre for Social Network Analysis.
I received a 1st class degree. My dissertation modelled the dynamics between askers and answerers in expert knowledge sharing communities on Reddit.