Lecture
This lecture by the instructor covers the challenges related to data assumptions, biases, and more in research. It discusses issues such as incomplete research write-ups, challenges not being acknowledged, and the frustration of newcomers. The lecture also delves into the analysis pipeline in Digital Humanities, sampling methods, biases in data processing, and human perception variability in data annotation.