Past Session
Monday, May 26, 2025
17:30h
Presented by
Matteo Grigoletto (University of Bern)
https://www.matteo-grigoletto.com/

Censorship in Democracy (with Marcel Caesman, Janis Goldzycher and Lorenz Gschwent)

Abstract

The spread of propaganda, misinformation, and biased narratives from autocratic regimes, especially on social media, is a growing concern in many democracies. Can censorship be an effective tool to curb the spread of such slanted narratives? In this paper, we study the European Union’s ban on Russian state-led news outlets after the 2022 Russian invasion of Ukraine. We analyze 775,616 tweets from 133,276 users on Twitter/X, employing a difference-in-differences strategy. We show that the ban reduced pro-Russian slant among users who had previously directly interacted with banned outlets. The impact is most pronounced among users with the highest pre-ban slant levels. However, this effect was short-lived, with slant returning to its pre-ban levels within two weeks post-enforcement. Additionally, we find a detectable albeit less pronounced indirect effect on users who had not directly interacted with the outlets before the ban. We provide evidence that other suppliers of propaganda may have actively sought to mitigate the ban’s influence by intensifying their activity, effectively counteracting the persistence and reach of the ban.

About this workshop

The Public Governance workshop is an online seminar series focused on state of art research in political economy that uses non-traditional data and data-intensive methods.

The workshop gives a platform for the research on the role of governance in designing and developing better policies. Key features are the political environment, the role of the media, the engagement of stakeholders such as civil society and firms, the market structure and level of competition, and the independence of public regulators, among others. Particular emphasis is placed on research with NLP methods due to the proven usefulness of transforming text into data for further econometric analysis.

Periodicity: Mondays from 17h30 to 19h.