Tasks:

• Task 1 - Subjectivity

  Given a sentence from a news article, determine whether it is subjective or objective. This is a binary classification task and is offered in Arabic, English, Bulgarian, German, and Italian for mono- and multi-lingual settings. Additionally, unseen languages like French and Spanish are considered for zero-shot settings.

• Task 2 - Claim Normalization

  Given a noisy, unstructured social media post, the task is to simplify it into a concise form. This is a generation task, offered in 20 languages: English, Arabic, Bengali, Czech, German, Greek, French, Hindi, Korean, Marathi, Indonesian, Dutch, Punjabi, Polish, Portuguese, Romanian, Spanish, Tamil, Telugu, Thai.

• Task 3 - Fact-Checking Numerical Claims

  This task focuses on verifying claims with numerical quantities and temporal expressions. Numerical claims are defined as those requiring validation of explicit or implicit quantitative or temporal details. Participants must classify each claim as True, False, or Conflicting based on a short list of evidence.

• Task 4 - Scientific Web Discourse Processing (SciWeb)
• Subtask 4.1: SciWeb Discourse Detection

  This task aims at classifying the different forms of science-related online discourse. Namely, given a tweet, this multilabel task aims at detecting if a tweet contains a scientific claim or scientific reference or is referring to science contexts or entities.

• Subtask 4.2 - SciWeb Claim-Source Retrieval

  Given a tweet containing a scientific claim and an informal reference to a scientific paper, this task aims at retrieving the scientific paper that serves as the source for the claim from a given pool of candidate scientific papers.