The aim of the project
DataPopEU is a research project that aims to develop novel methods and techniques to collect, process (clean) and analyze internet and big volume data to systematically investigate the significant political patterns of populism and euroscepticism in the Greek context.
Η Πυξίδα Λαϊκισμού και Ευρωσκεπτικισμού: https://popeu.helpmevote.gr είναι μία ηλεκτρονική εφαρμογή που επιτρέπει στους πολίτες να συγκρίνουν τις θέσεις τους με τις θέσεις των κομμάτων σε θέματα λαϊκισμού, ευρωσκεπτικισμού και ατομικών ελευθεριών. Ο μηχανισμός της εφαρμογής είναι απλός: οι θέσεις των κομμάτων (ο βαθμός συμφωνίας τους με διάφορες θέσεις) κωδικοποιούνται από μια ομάδα ακαδημαϊκών ερευνητών. Έπειτα οι πολίτες καλούνται να συμπληρώσουν το ίδιο ερωτηματολόγιο και να εκφράσουν τις προσωπικές απόψεις τους.
The Corpus of Texts created in the framework of the ELIDEK-funded DataPopEU project "Innovative methods and high-quality data for the research of populism and Euroscepticism" has been uploaded to the repository of Clarin EL the National Infrastructure for Linguistic Resources & Technologies for language data & language processing tools.
Dear DataPOPEU subscribers,
In the news section of our website, we have uploaded new presentations that you can watch. One of the new presentations is on Recruiting participants for a probability-based web survey sample via text messages (SMS) presented by DataPopEU's PI Ioannis Andreadis at WAPOR’s 74th Annual Conference, November 2-6, 2021.
Presantations at International Conferences
ECPR Virtual General Conference, 24 – 28 August 2020
- Presentation at the ECPR virtual conference on conducting online experiments for the 2019 Parliamentary Candidate Survey in order to collect high quality data.
Web-surveys are being used more and more often in social sciences, as a fast and low-cost mode of data collection. However, there are some serious drawbacks which are mainly related to the absence of an interviewer such as low response rates. Furthermore, the length of the survey instrument affects considerably the response behavior.
The proposed theoretical and methodological innovations and the data cleaning tools we will create, can be applied widely in the social sciences and humanities.
This project will:
• contribute to the community of web survey practitioners, providing evidence and knowledge on maximized response rate and response quality by investigating best practices to maximize data quality via different web experiments with respect to splitting a long questionnaire into shorter parts, exploring the optimal survey length and the optimal duration of the breaks between the sub-questionnaires, and applying data cleaning methods relying on response quality indicators.
• demonstrate that social media data can either supplement or even substitute some web survey data by cross-validating social media data (Facebook and Twitter) with web-survey data (Hellenic Candidate Study, Hellenic Voter Study, Expert Survey). This innovative supersession of more “traditional” data sources (web surveys) with big data (produced by social media posts) could help to reduce the length of web survey questionnaires: since we will be able to collect some of the information from their social media posts, we will not have to ask them to provide the same information on the questionnaire.
• promote the combined use of social media data, online questionnaire data and printed data to build knowledge about the attitudes and opinions of social and political actors on major issues like populism and euroscepticism.
Recruiting participants for a probability-based web survey sample via text messages (SMS)
Recruiting participants for a probability-based web survey sample via text messages (SMS) by DataPopEU's PI Ioannis Andreadis at WAPOR’s 74th Annual Conference, November 2-6, 2021.