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What is it about computational communication science?
Emese Domahidi & Mario Haim
49 episodes
3 days ago
As "big data" and "algorithms" affect our daily communication, lots of new research questions arise at the intersection between societies and technologies, asking for human wellbeing in times of permanent smartphone usage or the role of huge platforms for our news environment. The growing discipline of Computational Communication Science (CCS) takes on a combinatory perspective between social and computer science. In this podcast, Emese Domahidi (@MissEsi) and Mario Haim (@DrFollowMario) open this discussion for students and young scholars, one guest and one question at a time.
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Social Sciences
Science
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All content for What is it about computational communication science? is the property of Emese Domahidi & Mario Haim and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
As "big data" and "algorithms" affect our daily communication, lots of new research questions arise at the intersection between societies and technologies, asking for human wellbeing in times of permanent smartphone usage or the role of huge platforms for our news environment. The growing discipline of Computational Communication Science (CCS) takes on a combinatory perspective between social and computer science. In this podcast, Emese Domahidi (@MissEsi) and Mario Haim (@DrFollowMario) open this discussion for students and young scholars, one guest and one question at a time.
Show more...
Social Sciences
Science
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#aBitOfCCS on neural network for scaling party positions with Hung H.V. Nguyen hosted by Jana Bernhard-Harrer
What is it about computational communication science?
27 minutes 39 seconds
8 months ago
#aBitOfCCS on neural network for scaling party positions with Hung H.V. Nguyen hosted by Jana Bernhard-Harrer

In this episode of #aBitOfCCS, Jana Bernhard-Harrer chats with Hung Nguyen, a research fellow at the German Institute for Adult Education – the Leibniz Centre for Lifelong Learning. Hung shares insights from his study, "A Sentiment-Based Approach to Measuring Multidimensional Party Positions with Transformer."

The study introduces ContextScale, a framework that uses AI to analyze party positions by separating political sentiments from rhetorical styles. Built on the XLM-RoBERTa model, ContextScale offers new ways to understand policy intentions and party dynamics across languages and domains. Hung also discusses the dataset released through his research, featuring party positions on 11 topics across 22 countries.

Join us as we explore the use of transformer models in political communication and the potential for reshaping how we analyze party positions at scale.

For more on Hung’s work, connect with him at: Hung Nguyen - hung.nguyen@die-bonn.de

What is it about computational communication science?
As "big data" and "algorithms" affect our daily communication, lots of new research questions arise at the intersection between societies and technologies, asking for human wellbeing in times of permanent smartphone usage or the role of huge platforms for our news environment. The growing discipline of Computational Communication Science (CCS) takes on a combinatory perspective between social and computer science. In this podcast, Emese Domahidi (@MissEsi) and Mario Haim (@DrFollowMario) open this discussion for students and young scholars, one guest and one question at a time.