We are glad to invite you to participate in the SemEval-2023 Shared Task 3 on detecting the genre, the framing, and the persuasion techniques in online news.
The main drive behind this task is to foster development of methods and tools to support the analysis of online media content in order to understand what makes a text persuasive: which writing style is used, what key aspects are highlighted, and which persuasion techniques are used to influence the reader.
The data used for for this task is made of articles collected from 2020 to mid 2022, they revolve around a range of widely discussed topics such as COVID-19, climate change, abortion, migration, the Russo-Ukrainian war, and local elections.
The data presents several novelties: it is multilabel, multilingual, uses an updated taxonomy of persuassion techniques and covers complementary dimensions of what makes a text persuasive.
Are you interested in using AI systems to analyse political speech, media bias or rhetorics? Then you should not miss this task!!!
We offer three subtasks on news articles in six languages (English, French, German, Italian, Polish, and Russian).
Subtask 1: NEWS GENRE CATEGORISATION
Given a news article, determine whether it is an opinion piece, aims at objective news reporting, or is a satire piece. This is a multi-class task at article-level.
Subtask 2: NEWS FRAME CATEGORISATION
Given a news article, identify the generic frames used in the article. This is a multi-class task at article-level.
Subtask 3: PERSUASION TECHNIQUE DETECTION
Given a news article, identify the persuasion techniques in each paragraph. This is a multi-label task at paragraph level.
PARTICIPATION & EVALUATION
The participants may take part in any number of subtask-language pairs (even just one), and may train their systems using the data for all languages (in a multilingual setup).
To promote the development of language-agnostic solutions, there will be also two "surprise" languages for which we will release only test data for evaluation purposes.
23 September 2022: Registration opens
23 September 2022: Release of the first batch of the training\development set (next batches will follow regularly).
12 January 2023: Release of the test set
22 January 2023: Test submission site closes
February 2023: Paper Submission Deadline
March 2023: Notification to authors
April 2023: Camera ready papers due
Summer 2023: SemEval 2023 workshop
Giovanni Da San Martino, Preslav Nakov, Jakub Piskorski, Nicolas Stefanovitch