Democracy in context: using a\xa0distributional semantic model to study differences in the usage of democracy across languages and countries

Abstract

Cross-cultural survey research rests upon the assumption that if survey features are kept constant, data will remain comparable across languages, cultures and countries. Yet translating concepts across languages, cultures and political contexts is complicated by linguistic, cultural, normative or institutional discrepancies. Such discrepancies are particularly relevant for complex political concepts such as democracy, where the literature on political support has revealed significant cross-cultural differences in people’s attitudes toward democracy. Recognizing that language, culture and other socio-political variables affect survey results has often been equated with giving up on comparative research and many survey researchers have consequently chosen to simply ignore the issue of comparability and measurement equivalence across languages, cultures and countries. This paper contributes to the debate, using a distributional semantic lexicon, which is a statistical model measuring co-occurrence statistics in large text data. The method is motivated by structuralist meaning theory, stating that words with similar meanings tend to occur in similar contexts, and that contexts shape and define the meanings of words. Compared to other methodological approaches aimed at identifying and measuring cross-cultural discrepancies, this approach enables us to systematically analyze how the concept of democracy is used in its natural habitat. Collecting geo-tagged language data from news and social online source documents this paper descriptively explores varieties in meanings of democracy across a substantial number of languages and countries, and maps ways in which democracy is used among online populations and regions worldwide.