Congratulations to @musamalik, Sungbin Youk and Rene Weber who received an #ICA23 Top Paper Award for their work "Evaluating the Structural Position, Cinematographic Representation, & Emotional Portrayal of Female Characters in International Feature Films"

This work presents an "excellent application of vision research to the most communication-centric problem, with impressive empirical treatment of the topic."

Congratulations to @groceryheist, Valerie Hase, and Chung-hong Chan for their #ICA23 Top Paper "Automated Content Misclassification Causes Bias in Regression. Can We Fix It? Yes We Can!"

This manuscript "Illuminates a critical, underestimated flaw in current uses of machine classification and immediately proposes a sound, simulation-validated, and accessible solution (in the form of a new package)."

Congratulations to Chung-hong Chan and Rainer Freudenthaler for their #ICA23 Top Paper "A Benchmark Dataset for Detecting Frames in Multi-topical News Content"

This manuscript "introduces a highly original, bold and powerful strategy to give substance to a problem that we have all been sensing. While the findings deal a blow to popular low-effort approaches to framing analysis, the offered dataset holds rich potential for developing and validating superior strategies."

And, of course, huge congratulations to Dr. Fabienne Lind for receiving the first ever Computational Methods Division Top Dissertation award at #ICA23 for her dissertation "Multilingual Automated Content Analysis for Comparative Communication Research"

“A PhD thesis with a clear focus on the development of computational methods for the very relevant and timely area of multilingual text analysis, with a very high quality throughout, and the potential for a great impact for the CCS community.” 🎉