We counted the frequency of words like “apologize”, “sorry” and “mistake” and divided that by the length of the video. The ratio of likes and dislikes was from the vlogpologies themselves. Ratio data was not available for all people. For cuts, we used a program to detect when the video changed drastically from one frame to the other in conjunction with some manual threshold setting.