33.2972, FYI: Call for Participation: SemEval-2023 Shared Task 3 - Genre, Framing, and Persuasion Techniques Detection in Online News in a Multi-lingual Setup

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LINGUIST List: Vol-33-2972. Wed Sep 28 2022. ISSN: 1069 - 4875.

Subject: 33.2972, FYI: Call for Participation: SemEval-2023 Shared Task 3 - Genre, Framing, and Persuasion Techniques Detection in Online News in a Multi-lingual Setup

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Date: Wed, 28 Sep 2022 05:42:11
From: Giovanni Da San Martino [joedsm at gmail.com]
Subject: Call for Participation: SemEval-2023 Shared Task 3 - Genre, Framing, and Persuasion Techniques Detection in Online News in a Multi-lingual Setup

 
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!!!

URL
https://propaganda.math.unipd.it/semeval2023task3/

TASKS

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.

IMPORTANT DATES

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

TASK ORGANIZERS

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



Linguistic Field(s): Computational Linguistics

Subject Language(s): English (eng)





 



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