"Spoilers are everywhere on the internet, and are very common on social media. As internet users, we understand the pain of spoilers, and how they can ruin one's experience," said Ndapa Nakashole, a professor of computer science at UC San Diego and one of the paper's senior authors.
Some websites allow people to manually flag their posts with tags that serve as 'spoiler ahead' warning signs. But this doesn't always happen. So researchers wanted to develop an artificial intelligence tool powered by neural networks to automatically detect spoilers. They named the tool SpoilerNet.
Level - Researchers - People - Spoilers - Kind
On a theoretical level, researchers want to better understand how people write spoilers and what kind of linguistic patterns and common knowledge mark a sentence as a spoiler.
Researchers will present their findings at the 2019 annual meeting of the Association for Computational Linguistics in Florence, Italy, July 28 to Aug. 2. The tool the researchers developed could be used to build a browser extension to shield people from spoilers.
SpoilerNet - UC - San - Diego - Team
To train and test SpoilerNet, the UC San Diego team went looking for large datasets of sentences containing spoilers. Spoiler alert! They found none. So they created their own 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. The reviews were collected from Goodreads, a social networking site that allows people to track what they read, and share thoughts...
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