Motivation for the Spoiler Verification Center

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Spoilers are information that detracts from the enjoyment of a television program or movie. Examples of spoilers include the outcome of a suspense drama or film, the outcome of a reality television show, and sports broadcasts. They are frequently transmitted via social networks like Facebook and Twitter, where individuals share their opinions with friends or receive messages from strangers. Other channels of communication include the Internet.


An artificial intelligence agent that removes spoilers from SNS messages and reviews has been developed by 먹튀검증소 researchers at the University of California, San Diego. The specialist is prepared by collecting a data set of more than 1,000,000 spoiler-labeled surveys from Amazon-claimed perusing local area Goodreads, then it involves AI to recognize spoilers in sentences from that information and somewhere else. It can identify spoilers up to 92% of the time. The accuracy of it is dependent on the data and model used, so it is not perfect. Still, it is a step in the right direction toward automatically identifying spoilers. We are grateful to Mengting Wan, Rishabh Misra, and Ndapa Nakashole for their article in the Proceedings of the Association for Computational Linguistics (ACL), titled "Fine-Grained Spoiler Detection from Large-Scale Review Corpora."

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