Chris Arnold

@chrisguarnold.bsky.social

Associate Professor in Government and Artificial Intelligence at the University of Birmingham. Data addict. Visualisation enthusiast. I ♥ institutions.

We had an awesome project meeting over the week. So much looking forward to keep working on this. #sciencerocks

Andreas Küpfer@ankuepfer.bsky.social · 2w ago

📽️What do MPs communicate beyond their words? Our DFG project (w/ @chrisguarnold.bsky.social + @pluggedchris.bsky.social) studies not just what MPs say, but how and why they say it: voice, gestures, eye contact. We draw on 30,000+ hours of video from the German Bundestag and all 16 state parliaments.

⏬📽️Excited to talk about (1) studying videos from complex local meetings (w/ @mirya.bsky.social + @simko.bsky.social), (2) substantively using eye contact seeking in legislative debate videos, and (3) workflow managers to process video data (w/ @chrisguarnold.bsky.social + @pluggedchris.bsky.social)!

MZES Social Science Data Lab@mzes-ssdl.bsky.social · 7mo ago

🚨 Upcoming: "Politics in Action: Studying Multimodal Data from Local Meetings to National Parliaments" 👤 @ankuepfer.bsky.social (TU Darmstadt & University of Birmingham) 🗓️ Wed, March 11, 13:45-15:15 CET 📺 Register for the live stream: us02web.zoom.us/meeting/regi...

2026-03-11 | Input talk | Andreas Küpfer (TU Darmstadt & University of Birmingham)
Politics in Action: Studying Multimodal Data from Local Meetings to National Parliaments

Hybrid event [A5, 6, Room A231 + Zoom]
März 11, 2026, 13:45-15:15

Abstract
The analysis of multimodal political communication enables political scientists to study how politicians and parties behave in previously untapped ways. While large volumes of audiovisual data are increasingly available, these data are typically unstructured and vary substantially in quality, requiring robust and carefully designed processing pipelines. This talk guides through the challenges and opportunities of analysing political video data across institutional contexts. Analysing videos from local political meetings, including US school boards and state supreme courts, allows the generation of features such as transcriptions, gendered speech shares, and agenda items. However, the often semi-professional production quality of such recordings limits the systematic use of visual information. By contrast, legislative debate recordings are typically standardised and post-edited, enabling the leverage of visual features such as eye contact seeking to study the emergence of dominant behaviour during parliamentary speech. Scaling multimodal processing and feature extraction workflows across heterogeneous institutional contexts is, therefore, crucial. It enables the systematic study of political communication across levels of government and over longer time periods.

Presenter
Andreas Küpfer is a Postdoctoral Researcher in the DFG-funded project "Analysing Legislative Politics with Aligned Text, Audio and Image Data" at the Institute for Political Science of the Technical University of Darmstadt, holding a Ph.D. in Political Science from the University of Mannheim. He works at the intersection of Data Science and Political Science. His research focuses on (multimodal) political communication, combining computational with tradi…

I feel these takes are often narrow regarding what includes social science. I am sympathetic to the idea of qualitative research and fieldwork becoming rel more weighty as AI improves. ATM, these changes seem most drastic for quant analysis. What really changed for qualitative inquiry, yet?(1/2)

Alexander Kustov@akoustov.bsky.social · 7mo ago

Sorry, Bluesky, but I have to say it: AI can already do social science research better than most professors with PhDs. And, for the first time in my life, I really have no idea what happens in five years. Things are changing already, we just need to wake up.