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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 Dr. Valerie Hasse from LMU Munich to demystify one of the most widely used tools in computational text analysis: the dictionary. Valerie explains how computational dictionaries relate (or don’t!) to the everyday dictionaries we know, and breaks down how they actually work behind the scenes. We explore what dictionaries are good for, when to build your own versus using ready-made ones, and where they shine — especially for studying opinions, emotions, and media narratives. Valerie also opens up about the real challenges that come with using dictionaries, from biases to technical hurdles, and whether they still matter in the age of large language models. She gives clear answers and practical insights into a tool that helps researchers decode massive amounts of text.
