Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …

We describe SemEval-2023 task 3 on Detecting the Category, the Framing, and the
Persuasion Techniques in Online News in a Multilingual Setup: the dataset, the task …

Argument mining is the automatic identification and extraction of the structure of inference
and reasoning expressed as arguments presented in natural language. Understanding …

Recent advances in the capacity of large language models to generate human-like text have
resulted in their increased adoption in user-facing settings. In parallel, these improvements …

Converting student theses or final projects into publishable articles poses a significant
challenge. Many students struggle to articulate their ideas in scientific publications due to a …

Recent advances in neural architectures, such as the Transformer, coupled with the
emergence of large-scale pre-trained models such as BERT, have revolutionized the field of …

We describe SemEval-2021 task 6 on Detection of Persuasion Techniques in Texts and
Images: the data, the annotation guidelines, the evaluation setup, the results, and the …

With the emergence of the COVID-19 pandemic, the political and the medical aspects of
disinformation merged as the problem got elevated to a whole new level to become the first …

We explore the task of predicting the leading political ideology or bias of news articles. First,
we collect and release a large dataset of 34,737 articles that were manually annotated for …

The first five editions of the CheckThat! lab focused on the main tasks of the information
verification pipeline: check-worthiness, evidence retrieval and pairing, and verification …