IMDB Spoiler Dataset
This addresses the problem of unwanted spoilers for movie and TV show viewers, but it is incremental as it focuses on dataset creation rather than novel detection methods.
The authors tackled the problem of spoilers in user-generated movie reviews by creating a high-quality dataset for spoiler detection, enabling research on this issue.
User-generated reviews are often our first point of contact when we consider watching a movie or a TV show. However, beyond telling us the qualitative aspects of the media we want to consume, reviews may inevitably contain undesired revelatory information (i.e. 'spoilers') such as the surprising fate of a character in a movie, or the identity of a murderer in a crime-suspense movie, etc. In this paper, we present a high-quality movie-review based spoiler dataset to tackle the problem of spoiler detection and describe various research questions it can answer.