标题： Te Ahorré Un Click：点击诱饵的重新定义及西班牙新闻中的检测 显示英文标题

标题： Te Ahorré Un Click: A Revised Definition of Clickbait and Detection in Spanish News

摘要： 我们修订了点击诱饵的定义，该定义目前缺乏共识，并认为创造好奇心缺口是区分点击诱饵与其他相关现象（如夸张主义和未兑现承诺或偏离文章内容的标题）的关键概念。因此，我们提出了一个新的定义：点击诱饵是一种生成标题和预告片的技术，故意省略部分信息，以提高读者的好奇心，吸引他们的注意力并诱使他们点击。我们引入了一种新的点击诱饵检测数据集创建方法，通过细化概念范围和注释标准，尽可能减少决策中的主观性。随后，我们创建并发布了TA1C（Te Ahorré Un Click，西班牙语意为Saved You A Click），这是首个用于西班牙语点击诱饵检测的开源数据集。它包含来自18个知名媒体来源的3500条推文，经过人工标注，达到0.825的Fleiss' K评分者间一致性。我们实现了强大的基线模型，F1得分达到0.84。 显示英文摘要

摘要： We revise the definition of clickbait, which lacks current consensus, and argue that the creation of a curiosity gap is the key concept that distinguishes clickbait from other related phenomena such as sensationalism and headlines that do not deliver what they promise or diverge from the article. Therefore, we propose a new definition: clickbait is a technique for generating headlines and teasers that deliberately omit part of the information with the goal of raising the readers' curiosity, capturing their attention and enticing them to click. We introduce a new approach to clickbait detection datasets creation, by refining the concept limits and annotations criteria, minimizing the subjectivity in the decision as much as possible. Following it, we created and release TA1C (for Te Ahorr\'e Un Click, Spanish for Saved You A Click), the first open source dataset for clickbait detection in Spanish. It consists of 3,500 tweets coming from 18 well known media sources, manually annotated and reaching a 0.825 Fleiss' K inter annotator agreement. We implement strong baselines that achieve 0.84 in F1-score.