20. Navigating the Shores of Computational Text Analysis Validity with Christian Baden, Christian Pipa, and Mariken van der Velden

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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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20. Navigating the Shores of Computational Text Analysis Validity with Christian Baden, Christian Pipa, and Mariken van der Velden

Diaries of Social Data Research

57 minutes 11 seconds

2 years ago

20. Navigating the Shores of Computational Text Analysis Validity with Christian Baden, Christian Pipa, and Mariken van der Velden

In this episode, we speak to Christian Baden, Christian Pipal, and Mariken van der Velden about their 2022 journal paper in Communications Methods and Measures, titled, “Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda”. They co-authored this paper with Martijn Schoonvelde, and the authors span several disciplines, from communication to political science.

We discuss the challenges and joys of writing for a cross-disciplinary audience, how their frustrations with the validity of computational methods are shared across fields with different methodological conventions, and how this paper laid the groundwork for a larger project on European political text analysis.