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TA1C 2025 : TA1C at IberLEF 2025 - Shared task on Clickbait Detection and Spoiling in Spanish

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Link: https://codalab.lisn.upsaclay.fr/competitions/21819
 
When Sep 23, 2025 - Sep 23, 2025
Where Zaragoza, Spain
Submission Deadline Jun 2, 2025
Notification Due Jun 20, 2025
Final Version Due Jun 27, 2025
Categories    NLP   clickbait   spanish   machine learning
 

Call For Papers

*** Call for Participation for TA1C at IberLEF 2025 ***

TA1C (Te Ahorré Un Click) Clickbait Detection and Spoiling in Spanish at IberLEF 2025

https://codalab.lisn.upsaclay.fr/competitions/21819

Clickbait is a widespread phenomenon in online news: it is a way of creating headlines and teasers aimed at capturing readers’ attention in order to increase traffic, relegating the function of informing to a secondary role. There is no clear consensus at the moment about how to define clickbait exactly, with some contradictory definitions that usually are based on the deceptive effect created by the news failing to deliver what they promise, or content based related phenomena such as sensationalism or yellow journalism. For this task we will take the following definition, based on Loewenstein's information gap theory: “Clickbait is a method for generating teasers, especially online, that deliberately omits part of the information with the goal of generating curiosity by creating an information gap, thereby attracting the readers' attention and making them click”.

Although clickbait started in low-reputation web-exclusive media that focused on political propaganda or soft-news, such as The Huffington Post, Buzzfeed and Upworthy, it has gained prominence across all types of news and media. However, it is usually perceived as annoying and it can lead to misinformation. Spoiling the clickbait involves satisfying the curiosity by answering the information gap created. This way, the reader could have all of the information and can decide to read the complete article based on interest and not curiosity, just as if the headline was written in a traditional way.

In this shared task we will provide a dataset of media tweets written in different varieties of Spanish and from different sources, with their corresponding associated media articles. Participants will be asked to solve the following tasks:

* Clickbait Detection: Determine if the content of a tweet that links to a media article is clickbait, given the previous definition of clickbait. This is a binary classification task.

* Clickbait Spoiling: Given a clickbait teaser (tweet and title) and the corresponding news article, generate or extract from the article a short text that, as concisely as possible (280 characters max), fills the information gap, satisfying the generated curiosity, or otherwise indicate that the articles has no response for it. The generated text must be in Spanish.

How to participate:

If you want to participate in this task, please join our Codalab competition:

Important Dates:

* April 1st, 2025: training and development sets.
* May 27th, 2025: test set and open for submissions.
* June 3rd, 2025: publication of results.
* June 12th, 2025: paper submission.
* June 20th, 2025: notification of acceptance.
* June 27th, 2025: camera-ready paper submission.
* September, 2025: IberLEF 2025 Workshop.

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