Nahema is a doctoral candidate at the Oxford Internet Institute and a researcher at the Computational Propaganda Project.
Nahema is a doctoral candidate at the Oxford Internet Institute and a researcher at the Computational Propaganda Project, where her work focuses on the relationship between online political communication and affective partisan polarisation. Other research interests include the spread of misinformation online and the impact of artificial intelligence on politics and democratic processes.
Prior to joining the OII, Nahema worked as content editor at Dow Jones Media Group and as program officer for a number of not-for-profit organisations including the World Policy Institute and the Center for Public Scholarship. Nahema holds an MA in Political Theory from the New School for Social Research in New York and a B.Sc. in Political Science and International Relations from the University of Bristol.
Polarisation, echo chambers, information bubbles, social trust, affective politics, collective action, political economy of digital media, balkanisation, algorithmic sorting, disinformation
Supervisors at the OII
Junk news ‘not prevalent’ on Twitter, but more likely to be shared and liked on Facebook, finds unique multilingual study
21 May 2019
Fewer than 4% of news sources shared on Twitter ahead of the 2019 European Parliamentary elections were ‘junk news’
1 November 2018
25% of content shared around US midterms is junk news, despite efforts by the platforms to curb the problem
5 October 2018
Researchers from the Oxford Internet Institute, University of Oxford conclude only 1.2% of Twitter content connected to the elections is junk news
22 May 2019 Financial Times
Far-right parties shift focus from leaving EU to divisive social issues
21 May 2019 BBC News
Are Twitter bots controlled by Russia on the march across Europe? And is Facebook full of misinformation designed to influence voters?
20 November 2018 Council on Foreign Relations
France is taking an innovative step to curb disinformation on Facebook. It might prove to be a model for regulators elsewhere.