Decoding Bias and Narrative in Competitive Video Games

Explore the world of eSports broadcasting through a data-driven analysis of professional Overwatch games in this PyCon US talk. Delve into the challenges faced by in-game video producers as they balance accessibility for casual viewers with engaging content for regular players. Learn how to extract data from video footage, process player information, and store results using various Python packages and cloud services. Examine the implicit biases and narratives created by broadcasters' choices in character class representation and team focus. Discover the process of validating hypotheses about viewer preferences in eSports content through data visualization and statistical analysis. Gain insights into the intersection of competitive gaming, data science, and media production while considering the limitations of available datasets and the potential for further exploration in this rapidly evolving field.