Observing Opinions: Thinking About Text Computationally

In this episode, we’re joined by Dr. Fabienne Lind from the University of Vienna, who sheds light on how computational methods transform the way we study opinionated communication. Fabienne shares her experience researching political emotions on social media in the CIDAPE project and explains what it really means to “code” when we’re working with text. We explore how computational tools help us find patterns and insights that traditional reading might miss — and why this matters for understanding public discourse today. From clear benefits to real challenges, Fabienne shows why thinking computationally is key for anyone studying text at scale. Further information about the CIDAPE Horizon Europe Project here: https://cidape.eu/