Hi everyone,

 

Just a follow up on the last email. I forgot to include the location of this Friday’s lab meeting. This time we are not meeting in the Common Room, but in room REC B3.11  from 15:00 till 17:00.

 

Best,

Maaike

 

Maaike Homan

PhD Candidate at the Political Science Department

Amsterdam Institute for Social Science Research

University of Amsterdam

Room B10.01

logo hot politics

 

 

 

From: Homan, Maaike [mailto:m.d.homan@uva.nl]
Sent: dinsdag 8 oktober 2019 16:49
To: hotpoliticslab@list.uva.nl
Subject: [Hotpoliticslab] This Friday's Hot Politcs Lab Meeting

 

Dear lab members,

 

This Friday we will have two exciting presentations! Andreu Casas (ASCOR) will present “Automated Visual Clustering: A Technique for Image Corpus Exploration and Annotation Cost Reduction”. See attached a preliminary draft of the paper he will present.

The second presentation is by Nico Berk, titled: “To lead or to follow? Mainstream parties’ strategies and radical right success in Germany”. See below some more information from Nico regarding his presentation.

 

See you Friday!

 

Maaike Homan

PhD Candidate at the Political Science Department

Amsterdam Institute for Social Science Research

University of Amsterdam

Room B10.01

logo hot politics

 

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Dear all,

 

I am happy to get the opportunity to present a project I have been working on as part of the 'Big Data' course this Friday in the lab.

 

The idea was to construct a measure of the attention parties devote to immigration, based on parties' press releases, using automated content analysis. The project went a bit further and I tried to estimate the effect mainstream parties' emphasis of immigration has on the radical right vote share (and vice versa), as well as the connection with public attention to the issue. As the starting point was entirely empirical, especially theory and analysis are still work in progress and the further direction of the project is somewhat unclear - hence I am looking forward to your comments!

 

If you are curious, you can find a short summary (and all the code files) in this folder on my GitHub. If you are very curious, there is a very brief introduction and a notebook for the analysis online. You can obviously access all the code files, but remember to click the links in the description, not the files directly, as some won't display correctly otherwise.

 

Looking forward to see you Friday!

 

 

Best,

 

Nico

 

 

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