Category: News
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Presentation about Populism Detection at the Workshop: Österreichisches Treffen zu Sentimentinferenz
📢 Exciting update from the 47th Austrian Linguistic Conference in Graz! Our lab member Ahmadou Wagne showcased his research on annotating Austrian news comments for populist motives and utilizing machine learning to automatically detect them. Huge thanks to hosts Julia Neidhardt and Andreas Baumann for organizing the workshop: “Österreichisches Treffen zu Sentimentinferenz”! 👏🔍
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TU Wien Informatics Awards 2023
🎉Today the first edition of the newly created TU Wien Informatics Awards ceremony took place to celebrate excellent students at the faculty. We are excited to share that our lab member Ahmadou Wagne was nominated for the Best Master Thesis Award. His thesis “COVID-19 and populism in Austrian news user comments – A machine learning…
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Exploring News Recommendations Beyond Accuracy: Insights from the 11th International Workshop on News Recommendation and Analytics in Conjunction with ACM RecSys 2023
Today, Dr. Irina Nalis-Neuner and I presented our paper, “Like a Skilled DJ: An Expert Study on News Recommendations Beyond Accuracy,” at the 11th International Workshop on News Recommendation and Analytics in Conjunction with ACM RecSys 2023. 📚 In the past, recommender systems aimed for accuracy, but recent awareness highlights the need for considerations beyond accuracy. This…
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TBD: 2nd ACM Digital Humanism Summer School
🌐 Discover the latest from the 2nd ACM Digital Human Summer School! Our lab members Thomas Kolb & Ahmadou Wagne led a GPT session, enabling attendees to integrate local knowledge into ChatGPT to query the book “Introduction to Digital Humanism” & excel in collaborative projects with EU Commission staff members & other speakers!
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Integrating Local Knowledge and Large Language Models: New Paper Accepted at the Knowledge-aware and Conversational Recommender Systems Workshop at the RecSys’23
📢 Exciting News! 📚 Our paper titled “Potentials of Combining Local Knowledge and LLMs for Recommender Systems” has been accepted at the 5th Knowledge-aware and Conversational Recommender Systems Workshop. 🌐 Language Models have reshaped the landscape of natural language understanding, opening up new avenues for improving recommendation systems. In this work, we explore how combining…