Prompt-tuning for Clickbait Detection via Text Summarization

arXiv:2404.11206v1 Announce Type: new
Abstract: Clickbaits are surprising social posts or deceptive news headlines that attempt to lure users for more clicks, which have posted at unprecedented rates for more profit or commercial revenue. The spread of clickbait has significant negative impacts on the users, which brings users misleading or even click-jacking attacks. Different from fake news, the crucial problem in clickbait detection is determining whether the headline matches the corresponding content. Most existing methods compute the semantic similarity between …

abstract arxiv attacks click clickbait commercial cs.cl detection impacts negative profit prompt revenue social summarization text text summarization type via