Category: Research
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COVID-19 and Populism in Austrian News User Comments – A Machine Learning Approach
Author: Ahmadou Wagne Supervisor: Julia Neidhardt, Co-Supervisor: Thomas E. Kolb Abstract The COVID-19 pandemic and the resulting government measures have triggered a wave of protests and demonstrations in Austria. We saw some protestors resorting to populist rhetoric to express their dissatisfaction, which in some cases, led to anti-democratic tendencies. Populist talking points have not been…
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Network Analysis on the Austrian Media Corpus: Examining measures of co-occurrence between entities in Austrian media
Author: Gabriel Grill Supervisor: Hannes Werthner, Co-Supervisor: Julia Neidhardt Abstract The quantitative study of news media can provide insights into reporting patterns and enable public discourse. Print media is essential in democratic societies, so its study remains important. This thesis examines Austrian reporting using network-based methods and unpacks the suitability of such an approach for…
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Merging the gap between automated and human centered usability testing
Author: Can Özgür Yilmaz Supervisor: Allan Hanbury, Co-Supervisor: Julia Neidhardt Abstract In today’s world, usability testing is an essential aspect of the software developmentprocess. Conventional usability testing however is very time and resource consuming,because there needs to be a real person observing the user and trying to discover usabilityproblems from their observations. As a solution…
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Exhibit rating prediction and vistior path prediction in a museum setting
Author: Marek Furka Supervisor: Julia Neidhardt Abstract Rating prediction and path prediction tasks in a museum/exhibition setting are important problems, yet not well explored. Existing literature is limited and authors rarely compare multiple approaches, leaving an apparent research gap. In this study, we aim to close this research gap by giving a comprehensive comparison of…