*Call for Participation in Shared Task*
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Analysis of Persuasion Techniquesin Parliamentary Debates
and Disinformation- and Propaganda-oriented Social Media
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Co-located with Slavic NLP 2025
<http://bsnlp.cs.helsinki.fi/>Workshop, at ACL in Vienna, Austria
bsnlp.cs.helsinki.fi/shared-task.html
<http://bsnlp.cs.helsinki.fi/shared-task.html>
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TASK DESCRIPTION:
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The task focuses on detection and classification of Persuasion
Techniques using data from 5 Slavic languages — Bulgarian, Polish,
Croatian, Slovene and Russian — in two types of texts: (a) parliamentary
debates on hotly-contested topics, and (b) social media posts, related
to the spread of disinformation and propaganda. The task has two subtasks:
1.
Subtask 1: Detection — Given a text and a list of fragment offsets,
determine for each fragment whether it contains one or more
persuasion techniques, from a given taxonomy of persuasion techniques,
2.
Subtask 2: Classification —Given a text and a list of fragment
offsets, determine for each fragment which persuasion techniques are
employed therein.
We use a rich taxonomy with 25 persuasion techniques: Name-calling or
labelling, Guilt by association, Casting doubt, Appeal to hypocrisy,
Questioning the reputation, Flag waiving, Appeal to authority, Appeal to
popularity, Appeal to fear and prejudice, Appeal to values, Strawman,
Whataboutism, Red herring, Appeal to pity, Causal oversimplification,
False dilemma or no choice, Consequential oversimplification, False
equivalence, Slogans, Conversation killer, Appeal to time, Loaded
language, Obfuscation-Intentional vagueness-confusion, Exaggeration or
minimization, Repetition.
Subtask 1 is a binary classification task. Subtask 2 is a multi-class
multi-label classification task. The text fragments correspond to
paragraphs.
For information about training and test data, guidelines, and
participation, please see theShared Task Home Page.
<http://bsnlp.cs.helsinki.fi/shared-task.html>
IMPORTANT: Participants may join both subtasks or only one. It is not
mandatory to submit responses for all languages. Up to 5 system
responses per language per team may be submitted.
Important Dates
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Registration deadline: 26 April 2025
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Release of Testdata to registered participants: *29 April*2025
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Submission of system responses: 5 May 2023
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Results announced to participants: 8 May 2025
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Submission of shared task papers (optional): 18 May 2025
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*Questions and contact:
[email protected]<mailto:[email protected]>*
--
Roman Yangarber
Professor, University of Helsinki, Finland
Digital Humanities
INEQ: Helsinki Inequality Initiative
<https://helsinki.fi/en/ineq-helsinki-inequality-initiative> —
Linguistic Inequalities and Translation Technologies
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e-Learning & language learning
Language Learning Lab
Unioninkatu 40, Metsätalo A214
revitaAI.github.io <https://revitaai.github.io>
helsinki.fi/language-learning-lab
<https://www.helsinki.fi/language-learning-lab>
mobile: +358 50 41 51 71 3
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RЯ
<https://www.helsinki.fi/language-learning-lab>
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