This paper reports on the results of prelimi- nary experiments on the detection of persua- sion techniques in online news in Polish and Russian, using a taxonomy of 23 persuasion techniques. The evaluation addresses differ- ent aspects, namely, the granularity of the per- suasion technique category, i.e., coarse- (6 la- bels) versus fine-grained (23 labels), and the focus of the classification, i.e., at which level the labels are detected (subword, sentence, or paragraph). We compare the performance of mono- verus multi-lingual-trained state-of-the- art transformed-based models in this context.

On Experiments of Detecting Persuasion Techniques in Polish and Russian Online News: Preliminary Study

**Organizers:** 
Jakub Piskorski, Polish Academy of Sciences, Poland
Bogdan Babych, Heidelberg University, Germany
Michał Marcińczuk, Wroclaw University of Science and Technology, Samurai Labs, Poland
Preslav Nakov, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates
Maciej Ogrodniczuk, Polish Academy of Sciences, Poland
Senja Pollak, Jožef Stefan Institute, Slovenia
Pavel Přibáň, University of West Bohemia, Plzeň, Czech Republic
Josef Steinberger, University of West Bohemia, Plzeň, Czech Republic
Roman Yangarber, University of Helsinki, Finland
Piotr Rybak, Polish Academy of Sciences, Poland For more details, please visit our [workshop website](http://bsnlp.cs.helsinki.fi/index.html))

SlavNLP-2023: The 9th Biennial Workshop on Slavic NLP

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### Welcome to the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL) 
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EACL 2023

As the flagship European conference in the field of computational linguistics, EACL welcomes European and international researchers covering a broad spectrum of research areas that are concerned with computational approaches to natural language.

Nikolaos Nikolaidis

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On Experiments of Detecting Persuasion Techniques in Polish and Russian Online News: Preliminary Study

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