The NottDeuYTSch corpus contains over 33 million words taken from approximately 3 million YouTube comments from videos published between 2008 to 2018 targeted at a young, German-speaking demographic and represents an authentic language snapshot of young German speakers. The corpus was proportionally sampled based on video category and year from a database of 112 popular German-speaking YouTube channels in the DACH region for optimal representativeness and balance and contains a considerable amount of associated metadata for each comment that enable further longitudinal cross-sectional analyses.
This article examines the use of microblogging service Twitter during the period of the presidential election 2013 in the Czech Republic and aims to contribute to a development of an emerging research eld to which only a marginal interest of academics have been devoted so far, especially in the Czech Republic. A multi-method approach is used to analyze the dataset of tweets, which have contained prede ned hashtags within a course of four weeks period - including both, the rst and the second round of elections. The ndings indicate that the debate on Twitter “copies” events in mainstream media (mainly presidential TV debate), while linking to information sources in posts does not necessarily lead to the o - cial media sources. The analysis also reveals that tweets most often refer to Karel Schwarzenberg, in comparison with the names of other candidates, and that among the themes of tweets and retweets the most frequent topics are the campaign and political preferences which suggests the potential of Czech Twitter to form a basis of online political communication., Zuzana Karaščáková., and Obsahuje seznam pouzite literatury