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No one likes an errant spoiler showing up while reading a movie review, but what if there were a tool designed to detect those spoilers? That’s what a group of researchers at the University of California, San Diego set out to make with their AI tool SpoilerNet, capable of accurately identifying sentences that are likely to give away major plot points. But in testing out their new spoiler tool, the researchers found that SpoilerNet had its job stacked against it.
A University of California, San Diego study (via io9) has developed “an AI-based system that can flag spoilers in online reviews of books and TV shows.” But in the process, they have inadvertently revealed what is so impossible about spoiler culture: there is no defined parameter for what constitutes a spoiler.
Tool - Researchers - Dataset - Book - Reviews
To train the tool, the researchers created a dataset by collecting “more than 1.3 million book reviews annotated with spoiler tags by book reviewers. The tags encompass sentences that include spoilers and hide them behind a ‘view spoiler’ link in the text.” Through this data, collected from Goodreads, researchers were able to train SpoilerNet to achieve an 89-92% accuracy, though even this accuracy was somewhat arbitrary. According to the study, there’s no universal language to constitute a spoiler:
Researchers found that spoiler sentences...
(Excerpt) Read more at: /Film
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