9. Reddit Debates and Interdisciplinary Multilingualism with Emaad Manzoor

9. Reddit Debates and Interdisciplinary Multilingualism with Emaad Manzoor

Author: Katherine A. Keith, Naitian Zhou, & Lucy Li November 28, 2021 Duration: 52:02

Our guest on this episode is Emaad Manzoor, an Assistant Professor of Operations and Information Management at the University of Wisconsin Madison. Along with George H. Chen, Dokyun Lee, and Michael D. Smith, he wrote "Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online" which is currently under review at Management Science.

Emaad illuminates this project's long journey, from manually-labeling argumentation schemas, to using observational data from Reddit, to designing experiments. He talks with us about how Economics and NLP can learn from one another and the importance of "interdisciplinary multilingualism" in highlighting different aspects of one's work to different audiences. We also chat about the importance of personal drive in research projects and strategies for developing resilience to "emotional punches."


Behind every published paper or headline-grabbing finding using social data, there's a hidden story of collaboration, dead ends, and problem-solving. Diaries of Social Data Research pulls back the curtain on that process. Hosted by researchers Katherine A. Keith, Naitian Zhou, and Lucy Li, this series sits down with scholars working at the intersection of computational methods and social science to explore the real, human effort behind the datasets. Each conversation functions like an open research diary, detailing how interdisciplinary teams actually come together, navigate differing academic cultures, and tackle the practical hurdles of working with massive, often messy, information about human behavior. You'll hear about the stalled projects, the unexpected breakthroughs, and the meticulous work that turns a raw idea into a credible contribution. This isn't a podcast about polished results, but about the fascinating and often untold journey of modern research. For anyone curious about how we actually study society through data-the alliances built, the ethics debated, and the code debugged late into the night-this series offers a rare and authentic look inside the lab.
Author: Language: English Episodes: 20

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