Abstract. In this paper we present Tworpus, an easy-to-use tool for the creation of tailored Twitter corpora. Tworpus allows scholars to create corpora without having to know about the Twitter Application Programming Interface (API) and related technical aspects. At the same time our tool complies with Twitter's "rules of the road" on how to use tweet data. Corpora may be composed in various sizes and for specific scenarios, as the Tworpus interface provides controls for filtering and gathering customized collections of tweets, which may serve as the basis for subsequent analyses.
A fundamental tenet of democracy is that political parties present policy alternatives, such that the public can participate in the decision-making process. Parties, however, strategically control public discussion by emphasising topics that they believe will highlight their strengths in voters’ minds. Political strategy has been studied for decades, mostly by manually annotating and analysing party statements, press coverage, or TV ads. Here we build on recent work in the areas of computational social science and eDemocracy, which studied these concepts computationally with social media. We operationalize
issue engagement
and related political science theories to measure and quantify politicians’ communication behavior using more than 366k Tweets posted by over 1,000 prominent German politicians in the 2017 election year. To this end, we first identify issues in posted Tweets by utilising a hashtag-based approach well known in the literature. This method allows several prominent issues featuring in the political debate on Twitter that year to be identified. We show that different political parties engage to a larger or lesser extent with these issues. The findings reveal differing social media strategies by parties located at different sides of the political left-right scale, in terms of which issues they engage with, how confrontational they are and how their strategies evolve in the lead-up to the election. Whereas previous work has analysed the general public’s use of Twitter or politicians’ communication in terms of cross-party polarisation, this is the first study of political science theories, relating to issue engagement, using politicians’ social media data.
Abstract. We present a web-based tool for evaluating the information architecture of a website. The tool allows the use of crowdsourcing platforms like Amazon's MTurk as a means for recruiting test persons, and to conduct asynchronous remote navigation stress tests (cf. Instone 2000). We also report on an evaluation study which compares our tool-based crowdsourced approach to a more traditional laboratory test setting. Results of this comparison indicate that although there are interesting differences between the two testing approaches, both lead to similar test results.
We briefly describe a tutorial on the application of Eye-Tracking technology for Software Engineering Education. We will showcase our setup of a large-scale Eye-Tracking-Classroom and its usage for real-time improvement of traditional learning scenarios in Software Engineering Education. We will focus on the integration of gaze data into modern integrated development environments (IDEs) and demonstrate a complete workflow for its usage in co-located multiuser Eye-Tracking-Environments.
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