Dive into the latest episode of #aBitOfCCS Podcast featuring Sean-Kelly Palicki, a PhD candidate at TU Munich, as he explores multilingual document sampling and the impact of keyword translation strategies on automated text analysis. In this engaging conversation with host Jana Bernhard, Sean discusses key findings from his study, "Selecting Relevant Documents for Multilingual Content Analysis," published in Computational Communication Research. Check out the full study at https://doi.org/10.5117/CCR2023.2.5.PALI. For further inquiries, reach out to Sean-Kelly at sean.palicki@tum.de. Don't miss this insightful episode on the nuances of document selection in computational communication research!
What is it about computational communication science?