  Often clickbait articles have a title that is phrased as a question or vague
teaser that entices the user to click on the link and read the article to find
the explanation. We developed a system that will automatically find the answer
or explanation of the clickbait hook from the website text so that the user
does not need to read through the text themselves. We fine-tune an extractive
question and answering model (RoBERTa) and an abstractive one (T5), using data
scraped from the 'StopClickbait' Facebook pages and Reddit's 'SavedYouAClick'
subforum. We find that both extractive and abstractive models improve
significantly after finetuning. We find that the extractive model performs
slightly better according to ROUGE scores, while the abstractive one has a
slight edge in terms of BERTscores.
