Work

SemEval-2023 Task 3: Detecting the Category, the Framing, and the Persuasion Techniques in Online News in a Multi-lingual Setup

Year: 2023

Type: conference-paper

Abstract: We present a new multilingual multifacet dataset of news articles, each annotated for genre (objective news reporting vs. opinion vs. satire), framing (what key aspects are highlighted), and persuasion techniques (logical fallacies, emotional appeals, ad hominem attacks, etc.).The persuasion techniques are annotated at the span level, using a taxonomy of 23 fine-grained techniques grouped into 6 coarse categories.The dataset contains 1,612 news articles covering recent news on current topics of public interest in six European languages (English, French, German, Italian, Polish, and Russian), with more than 37k annotated spans of persuasion techniques.We describe the dataset and the annotation process, and we report the evaluation results of multilabel classification experiments using stateof-the-art multilingual transformers at different levels of granularity: token-level, sentencelevel, paragraph-level, and document-level.

DOI: 10.18653/v1/2023.semeval-1.317

Authors: Jakub Piskorski, Nicolas Stefanovitch, Giovanni Da San Martino, Preslav Nakov

Institutions: Institute of Computer Science, Polish Academy of Sciences, European Commission, Joint Research Centre, Mohamed bin Zayed University of Artificial Intelligence

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funders: Hamad Bin Khalifa University, European Commission, Università degli Studi di Padova

OpenAlex ID: W4385572111

FWCI: 15.43

Cites: 47

Cited by: 86

Related to: 10