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 challenge ...
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20. Navigating the Shores of Computational Text Analysis Validity with Christian Baden, Christian Pipa, and Mariken van der Velden
57:11
57:11
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57:11
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 discip…
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19. Constructing a Taxonomy of Implicit Hate Speech Grounded in Social Theory with Diyi Yang and David Muchlinski
56:02
56:02
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56:02
Our guests on this episode are Diyi Yang, assistant professor at the School of Interactive Computing, and David Muchlinski, assistant professor in the Sam Nunn School of International Affairs, both at Georgia Tech. We discuss their EMNLP 2021 paper, "Latent Hatred: A Benchmark for Understanding Implicit Hate Speech." This paper is co-authored with …
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18. Gender Patterns in English-Language Fiction and Interrogating Data with Ted Underwood and David Bamman
53:50
53:50
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53:50
This episode features Ted Underwood, a professor in the School of Information Sciences and Department of English at the University of Illinois Urbana-Champaign, and David Bamman, an associate professor at UC Berkeley’s School of Information. We discuss their 2018 Cultural Analytics paper co-authored with literary studies PhD student Sabrina Lee, ti…
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17. Hashtag Network Analysis and Interwoven Research Ethics with Ryan Gallagher and Brooke Foucault Welles
55:50
55:50
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55:50
Our guests in this episode are Ryan Gallagher, a PhD Candidate in Network Science at Northeastern University, and Brooke Foucault Welles, an Associate Professor in Communication Studies and the Network Science Institute at Northeastern University. We discuss their 2019 CSCW paper, "Reclaiming Stigmatized Narratives: The Networked Disclosure Landsca…
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16. Measuring Uptake in Classroom Conversations and Using NLP to Support Teachers with Dora Demszky
50:26
50:26
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50:26
This episode features Dora Demszky, a PhD student in Linguistics at Stanford University. Dora works at the intersection of natural language processing and education. We discuss her ACL 2021 paper titled "Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions", co-authored with Jing Liu, Zid Mancenido, Julie Cohen, Heather Hil…
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15. Race in Computational Disinformation Analysis and Deep Reading with Deen Freelon
51:34
51:34
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51:34
Our guest in this episode is Deen Freelon, Associate Professor at the University of North Carolina in the School of Journalism and Media. We chat about his 2020 Social Science Computer Review Paper "Black Trolls Matter: Racial and Ideological Asymmetries in Social Media Disinformation" with co-authors Michael Bossetta, Chris Wells, Josephine Lukito…
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14. The Past Decade of Computational Social Science Research with David Lazer
52:59
52:59
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52:59
In this episode, we talk with David Lazer, the University Distinguished Professor of Political Science and Computer Sciences at Northeastern University and the Co-Director of the NULab for Texts, Maps, and Networks. We discuss two seminal papers in computational social science he co-authored a decade apart: "Life in the network: the coming age of c…
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13. Finding (Mis)alignments in Public Opinion and Wisdom in Collaboration Management with Kenneth Joseph and Sarah Shugars
49:43
49:43
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49:43
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 O…
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12. Understanding Conversational Patterns in Police Community Interactions with Vinodkumar Prabhakaran and Camilla Griffiths
49:08
49:08
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49:08
Our guests on this episode are Vinodkumar Prabhakaran, who was a computer science postdoc at Stanford and now a senior research scientist at Google, and Camilla Griffiths, who is a postdoc at Stanford SPARQ (Social Psychological Answers to Real-world Questions). With Hang Su, Prateek Verma, Nelson Morgan, Jennifer Eberhardt, and Dan Jurafsky, they …
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11. The Effects of Friend-to-Friend Texting on Voter Turnout and Overcoming Project Setbacks with Aaron Schein
56:54
56:54
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56:54
This episode features Aaron Schein, a computer scientist and postdoctoral fellow at Columbia University. We discuss his WWW 2021 paper "Assessing the Effects of Friend-to-Friend Texting on Turnout in the 2018 US Midterm Elections", co-authored with Keyon Vafa, Dhanya Sridhar, Victor Veitch, Jeffery Quinn, James Moffet, David Blei, and Donald Green.…
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10. Political Discourse and Substantive-Methodological Intersections with Justine Zhang and Arthur Spirling
43:17
43:17
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43:17
In this episode, we talk with Justine Zhang and Arthur Spirling. Justine is currently a postdoctoral researcher at Stanford University and Arthur is a Professor of Politics and Data Science at New York University. We discuss their 2017 EMNLP paper, with Cristian Danescu-Niculescu-Mizil, "Asking too much? The rhetorical role of questions in politica…
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9. Reddit Debates and Interdisciplinary Multilingualism with Emaad Manzoor
52:02
52:02
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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 Sc…
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8. The Evolution of Computational Social Science from a Sociology Perspective with Chris Bail
51:12
51:12
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51:12
This unique episode centers on a "meta" discussion on interdisciplinary work involving large-scale social data. We interview Chris Bail, a Professor of Sociology and Public Policy at Duke University. Last year, Chris and co-authors Achim Edelman, Tom Wolff, and Danielle Montagne published an overview paper titled "Computational Social Science and S…
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7. The Power of Birth Stories’ Narratives and Intellectual Generosity with Maria Antoniak and Karen Levy
53:32
53:32
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53:32
This episode features Maria Antoniak, a PhD student, and Karen Levy, an assistant professor, who are both in the Department of Information Science at Cornell. Maria, who has a background in computational linguistics, and Karen, who has a background in law and sociology, are co-authors, along with David Mimno, on the CSCW 2019 paper "Narrative Paths…
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6. Extracting Events from Text and Grad School Memories with Brendan O'Connor and Brandon Stewart
1:10:34
1:10:34
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1:10:34
Our guests in this episode are Brendan O'Connor, Associate Professor of Computer Science at UMass Amherst, and Brandon Stewart, Assistant Professor of Sociology at Princeton University. We talk with them about their 2013 ACL paper (with co-author Noah Smith) “Learning to Extract International Relations from Political Context” which presents a proba…
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5. Opioid Use Recovery on Social Media and Mentoring Undergrad Collaborators with Stevie Chancellor
49:06
49:06
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49:06
In this episode, we talked to Stevie Chancellor, who is the lead author on a 2019 CHI paper titled "Discovering Alternative Treatments for Opioid Use Recovery in Social Media". Along with Stevie, who is a computer scientist, the team of authors included clinical psychologist and addiction researcher George Nitzburg, Stevie’s advisor Munmun De Choud…
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4. COVID-19 Mobility Networks and Post-Publication Scientific Communication with Serina Chang
49:57
49:57
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49:57
We discuss the paper "Mobility network models of COVID-19 explain inequities and inform reopening" with first author and Stanford computer science PhD student Serina Chang. This paper's team of interdisciplinary authors include other computer scientists (Emma Pierson, Pang Wei Koh, and Jure Leskovec), sociologists (Beth Redbird and David Grusky), a…
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3. Digital Health Communication and Punk Rock Academics with Ethan Zuckerman
41:34
41:34
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41:34
In this episode, we talk to Ethan Zuckerman, associate professor at the University of Massachusetts Amherst, where he teaches public policy, communication, and information. We discuss his paper "Digital Health Communication and Global Public Influence: A Study of the Ebola Epidemic" which was published in the Journal of Health Communication in 2017…
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2. Analyzing Menstrual Cycle Data and Math Transcending Boundaries with Emma Pierson
44:10
44:10
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44:10
We talk with Emma Pierson, PhD in Computer Science from Stanford and incoming assistant professor of Computer Science at Cornell Tech, about her paper "Daily, weekly, seasonal and menstrual cycles in women’s mood, behaviour and vital signs" published in Nature Human Behavior, 2021. This was joint work with fellow computer scientists (Tim Althoff an…
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1. Abolitionist Newspapers and Maintaining 8-Year Project Momentum with Lauren Klein and Sandeep Soni
54:38
54:38
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54:38
This episode features two guests: Lauren Klein, an associate professor of English and Quantitative Theory & Methods at Emory University, and Sandeep Soni, a PhD candidate in Computer Science at Georgia Tech. Their Cultural Analytics paper, "Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers", was published ea…
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