A Method to Construct Comic Spoiler Dataset and the Analysis of Comic Spoilers

People differ in their assessment of whether they consider spoilers to be problematic or not. Recent studies have investigated the effects of spoilers. However, the definition of spoilers in those studies was ambiguous, so it is difficult to say that the impact of spoilers has been investigated. In this work, we propose a definition of comic spoilers and a dataset construction method to avoid ambiguity in the definition of spoilers. Furthermore, we construct a dataset and compare our dataset with the spoilers used in previous studies to clarify the characteristics of spoilers. Then, we found that the newly constructed dataset not only covered the previous dataset but also detected important spoiler scenes that were not included in the previous dataset, such as goal scenes and scenes that reveal the killer’s motive and so on, as spoilers.