Research
Research
In its research and teaching, the Department of Government primarily focuses on comparative and Austrian politics. Its research is concerned with political behaviour, political actors, such as political parties and politicians, political institutions, the processes governed by these institutions, as well as their outcomes. It includes work on political participation, voting behaviour, parties and party competition, coalition politics and Austrian politics in general and is mostly based on rationalist and behavioural approaches.
Our goal is to conduct high-level, internationally competitive research in the area of Comparative Politics with the collaboration of international project partners and research networks. At the Faculty of Social Sciences the department is mainly engaged in the key research area ''Political Competition and Communication: Democratic Representation in Changing Societies'.
The department’s approach places it in the discipline’s empirical-analytical core and is mostly based on quantitative social science methods. To map empirical phenomena accurately, researcher in the department focus on the continuous development of survey design, as well as on the analysis of empirical data by applying the best suited statistical model. The department aims to achieve the best work on Austrian politics and to make important contributions to the international academic literature on Comparative Government and Politics.
An overview of current publications and activities at the department can be found below and on the personal websites of our team.
Political Institutions
Institutions play a key role in political systems, as they define the framework conditions for political decisions...
Political Representation
Political representation describes the institutional and social processes and practices that connect citizens and voters to...
Party Competition
Party competition is an essential component of democratic systems and describes the competition between political parties for votes...
Infrastructural Projects
Infrastructural projects are an essential component of scientific research, as they create the basis for long-term data collection...
Political Behaviour
Political behaviour deals with the individual and collective attitudes and actions of citizens in a political context...
Cooperations
Cooperations are a central component of scientific research, as they promote the exchange of knowledge, resources and...
Publications
Estimating Policy Positions Using Social Network Data
- Author(s)
- Alejandro Ecker
- Abstract
Social network site (SNS) data provide scholars with a plethora of new opportunities for studying public opinion and forecasting electoral outcomes. While these are certainly among the most promising big data applications in political science research, a series of pioneering studies have started to uncover the vast potential of such data to estimate the policy positions of political actors. Adding to this emerging strand in the scholarly literature, the present article explores the validity of (individual) policy positions derived from the social network structure of the microblogging platform Twitter. At the aggregate party level, cross-validation with external data sources suggests that SNS data provide valid policy position estimates. In contrast, the empirical analysis reveals only a moderate connection between individual policy positions retrieved from the social network structure and those retrieved from members of parliament individual voting record. These results thus highlight the potential as well as important limitations of SNS data in indicating the policy positions of political parties and individual legislators.
- Organisation(s)
- Department of Government
- Journal
- Social Science Computer Review
- Volume
- 35
- Pages
- 53-67
- No. of pages
- 15
- ISSN
- 0894-4393
- DOI
- https://doi.org/10.1177/0894439315602662
- Publication date
- 2015
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 506014 Comparative politics
- Keywords
- ASJC Scopus subject areas
- General Social Sciences, Library and Information Sciences, Law, Computer Science Applications
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/0f9db0c2-f413-4620-b1ca-227a03a20d54