13. Finding (Mis)alignments in Public Opinion and Wisdom in Collaboration Management with Kenneth Joseph and Sarah Shugars

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Diaries of Social Data Research

Katherine A. Keith, Naitian Zhou, & Lucy Li

20 episodes

2 days ago

Large-scale data has become a major component of research about human behavior and society. But how are interdisciplinary collaborations that use large-scale social data formed and maintained? What obstacles are encountered on the journey from idea conception to publication? In this podcast, we investigate these questions by probing the “research diaries” of scholars in computational social science and adjacent fields. We unmask the research process with the hope of normalizing the challenges of and increasing accessibility in academia. Music: Jon Gillick.

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13. Finding (Mis)alignments in Public Opinion and Wisdom in Collaboration Management with Kenneth Joseph and Sarah Shugars

Diaries of Social Data Research

49 minutes 43 seconds

3 years ago

13. Finding (Mis)alignments in Public Opinion and Wisdom in Collaboration Management with Kenneth Joseph and Sarah Shugars

Our guests on this episode are Kenneth Joseph, an assistant professor in Computer Science and Engineering at the University of Buffalo, and Sarah Shugars, a Faculty Fellow at New York University’s Center for Data Science. We discuss the process behind their EMNLP 2021 paper, “(Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys,” co-authored with Ryan Gallagher, Jon Green, Alexi Quintana Mathé, Zijian An, and David Lazer.

Kenneth and Sarah offer tips around communication, collaboration, and project management, especially for papers written during a pandemic. Kenneth talks about “privileging ethics” when making decisions around data privacy and experimental replicability, and Sarah reflects on navigating differences in terminology use in interdisciplinary environments.