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OBSERVING OPINIONS
Measuring Opinionated Communication
Dig into the EU COST network OPINION with Wendo
The European Union’s (EU) COST (www.cost.eu) network OPINION (www.opinion-network.eu) is an international network of researchers collaborating to develop and integrate conceptual foundations, computational measurement strategies, and research agendas for the study of textual expressions of evaluative opinions. As a concerted effort to address one of the key challenges in the study of digital textual data, OPINION advances a trans-disciplinary, multilingual, culturally sensitive, and collaborative approach to studying opinionated communication.
This podcast allows you to dig into the network.
Please note that this podcast is based upon work from COST Action OPINION, CA21129, supported by COST (European Cooperation in Science and Technology). COST ist a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.

In this episode, we’re joined by Prof. Damian Trilling from Vrije Universiteit Amsterdam, who opens the door to the world of machine learning for opinion research. Damian explains how citizens consume and share news today — and how machine learning helps us make sense of these patterns at scale. We unpack the difference between supervised and unsupervised machine learning and explore how blending both can strengthen research projects. Damian also shares why these methods hold so much promise for the future of studying opinionated communication and news use in the digital age.
