The EUENGAGE project is building eight different datasets focusing on citizens (Euengage 1st Wave Mass Survey, DoL Data), elites (Euengage 1st Wave Elite Survey), parties (CHES, EP Election 2014 Party Manifestos), political leadership (EUSpeech), social media (EP Election 2014-Tweets) and electronic media (MRC Data).
The Chapel Hill expert surveys
The Chapel Hill expert surveys estimate party positioning on European integration, ideology and policy issues for national parties in a variety of European countries. The first survey was conducted in 1999, with subsequent waves in 2002, 2006, 2010, and 2014. The number of countries increased from 14 Western European countries in 1999 to 24 current or prospective EU members in 2006 to 31 countries in 2014. In this time, the number of national parties grew from 143 to 268. The 2014 survey includes all EU member states, plus parties in Norway, Switzerland, and Turkey.
European Election Studies 2014: Manifesto Project 2014 Euromanifesto Study
The Euromanifesto Project (EM Project) aims at collecting all euromanifestos (party programs) issued by political parties and the European groups ahead of elections to the European Parliament (EP) in all EU member countries.
E-Voice Online Deliberation
From October 17 to the 27, 2016, about 350 citizens from 10 European countries (Czech Republic, France, Germany, Greece, Italy, the Netherlands, Poland, Portugal, Spain, and the United Kingdom) joined the e-VOICE online platform. Two questionnaires, administered to participants before and after the e-VOICE event, explored people’s opinions on the three debated issues (immigration, economy and security) and on broader issues of political participation and representation. Along with survey data, the UNISI research team collected policy proposals and participants’ verbatim of comments posted in the platform, as well as the transcripts of the video-messages sent by politicians.
Data are going to be released, for any information use our contacts
First results are described in our working paper series
Electronic Media Data
The data collection process produced a dataset with 121,170 cases (news articles metadata for each of the 4 topics: Brexit, Immigration, Economy, Security) and 11 variables (Country, Outlet, Archive Date, Topic, Article Headline, Publication Date, Sample Sentence, Wordcount, Article links, Article ID, Source). The dataset is easy to operate and navigate, necessitating only basic Excel skills, and is compatible with most other software commonly used in statistics or programming (ex. R, STATA, SPSS, Python)
The EUSpeech dataset
EUSpeech is a dataset of 18,403 speeches from EU leaders (i.e., heads of government in 10 member states, EU commissioners, party leaders in the European Parliament, and ECB and IMF leaders) from 2007 to 2015. These speeches vary in sentiment, topics and ideology, allowing for fine-grained, over-time comparison of representation in the EU.
General public and Business Elite Survey
During summer 2016 and fall 2017 UNISI together with Kantar Public launched the first wave of a survey targeting EU citizens and business people in ten countries (Czech Republic, France, Germany, Greece, Italy, the Netherlands, Poland, Portugal, Spain, and the United Kingdom). The survey focused on three policy areas – security, economy and immigration – and it collected opinions about the preferred policy solutions and feelings of solidarity across EU countries to address the most urgent crises. The survey also included some population-based experiments that explored the determinants of solidarity in the fields of security, immigration and the economy within the European Union.
Data will be available soon, for any information please use our conctats
The collection of Tweets includes over forty million tweets with more than four million unique users. Through the analysis of the Text of tweets and the follower and re-Tweet networks of Twitter users, we documented numerous results including the ability to estimate user positions on Brexit. We also uncovered networks of relations between the topics discussed on social media, using correlated topic models on the texts of the social media posts. For the first results see our EWPS
Data will be available soon, for any information please conctat Kenneth Benoit (krbenoit[at]gmail.com)