News

Our researchers at the Annual Conference of POLTEXT in Tokyo, Japan

Our researchers at the Annual Conference of POLTEXT in Tokyo, Japan

The 3rd Annual Conference of the POLTEXT international text mining community was held on September 13-15 at Waseda University in Tokyo. Organized by Kohei Watanabe, Lisa Lechner and Miklós Sebők (the principal investigator of the POLTEXT project at the Centre of Social Sciences, Budapest) the event featured tutorials and presentations by three other researchers of CSS: Márton Bene, Zoltán Kacsuk and Martina Szabó. For more information see poltextconference.org and poltext.tk.mta.hu.

PhD Conference - Call For Contributions

The study of political phenomena has attracted scholars from different disciplines (such as comparative politics, political economy, political sociology and political communication), who approach intertwined questions from distinct perspectives. The resulting discourses, however, rarely engage with each other, while a comprehensive understanding of politics requires the joint application of diverse theoretical and methodological approaches, as well as syntheses of their results. This year’s instalment of our graduate conference, organised for the fifth time, aims to promote joint discourse and reflection by providing a forum for doctoral candidates and (post)graduate students engaged in political research

Jennifer McCoy: Populist Message of ‘We’ Versus ‘They’ Dehumanizes the Other Side

Jennifer McCoy: Populist Message of ‘We’ Versus ‘They’ Dehumanizes the Other Side

Populism is not always bad, but a populist political message can divide societies between “us” and “them”, explains Jennifer McCoy, a distinguished professor of political science at Georgia State University and a senior core fellow of the Institute for Advanced Study at Central European University. In a new episode of DEMOS interviews on YouTube, McCoy discusses the main features and negative consequences of populism for democracy, like a deep political polarization, and how society can detect and react to them.