Category: Thesis
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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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Wie wirken sich technologische Filterblasen, als Folge der algorithmisch personalisierten Aufbereitung von Inhalten sozialer Netzwerke, auf die politische Meinungspolarisierung der Nutzer:innen aus?
Author: Nadine Chincea Supervisor: Irina Nalis-Neuner, Co-Supervisor: Julia Neidhardt Abstract Die unterschiedlichen Meinungen zu technologischen Filterblasen im Internet und deren angenommenen Auswirkungen spiegeln sich nicht nur im öffentlichen Diskurs, sondern auch in der Forschungsliteratur wider. Die wesentliche Grundlage dieser Thematik bilden allerdings Fragen um die Funktionsweisen und Effekte von Personalisierungsalgorithmen. Die an die einzelnen Nutzer:innen…
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How Can Digital Nudges Guide Users Towards More Diverse News Consumption?
Author: Laura Valentina Modre Supervisor: Irina Nalis-Neuner, Co-Supervisor: Julia Neidhardt Abstract Most web-based news outlets employ recommendation algorithms which collect and process data on users’ previous behaviors and preferences to curate highly personalized news environments. Increasingly, there is a call for these systems to also incorporate insights from behavioral science to construct recommender systems that…
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Diversity in News Recommendations- Towards a Broader Perspective on Diversity-Aware-Recommender-Systems and Their Influence on Users
Author: Linda Basso Supervisor: Irina Nalis-Neuner, Co-Supervisor: Julia Neidhardt Abstract All of us encounter recommender systems (RS) regularly by using social media, google, online-shopping, streaming music, reading the news online, etc. The interaction with these information filtering systems is part of our everyday lives. Thus, they have an influence on their users’ behavior, their decision…
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Improving Trust in Recommender Systems through Context Clues
Author: Tobias Sippl Supervisor: Irina Nalis-Neuner, Co-Supervisor: Julia Neidhardt 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 confined…