DIPROMATS 2023: Propaganda identification (EN)

The task aims at  finding the best techniques to identify propagandistic tweets from governmental and diplomatic sources on a  dataset of tweets in English, posted by authorities of China, Russia, United States and the European Union. It consists on  determining whether a tweet has propaganda techniques or not.

Publication
Pablo Moral, Guillermo Marco, Julio Gonzalo, Jorge Carrillo-de-Albornoz, Iván Gonzalo-Verdugo (2023) Overview of DIPROMATS 2023: automatic detection and characterization of propaganda techniques in messages from diplomats and authorities of world powers. Procesamiento del Lenguaje Natural, Revista nº 71, septiembre de 2023, pp. 397-407.
Language
English
URL Task
https://sites.google.com/view/dipromats2023
NLP topic
text classification
Abstract task
Classification
Dataset
DIPROMATS 2023
Year
2023
Publication link
http://journal.sepln.org/sepl…
Ranking metric
ICM

Task results

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.