*** DIPROMATS 2023 Call for participation *** A challenge on the automatic detection and characterization of propaganda techniques in public messages from diplomats and authorities from USA, China, EU and Russia https://sites.google.com/view/dipromats2023 <https://sites.google.com/view/dipromats2023?authuser=0>
We are glad to invite you to participate in DIPROMATS 2023, the shared task on propaganda detection at the Iberian Languages Evaluation Forum (IberLEF 2023) Unlike fake news, the detection of propaganda in news and social media has not attracted so much attention from journalists, fact-checkers, or scholars. In our view, this hinders the endeavors against hostile and manipulative information. The deceiving intent of propaganda may be more subtle and devious than disinformation; its content does not have to be false, and its effects may be only discernible through systematic observation over time. As a means by which certain ideas and actions propagate, propaganda involves rhetorical techniques to improve replication. This task proposes a specific approach to detect those techniques based on the language employed by official authorities on Twitter. The corpus provided for the task encompasses tweets in Spanish and English from diplomats of four different international actors: China, Russia, United States, and the European Union. The authorities collected include government accounts, embassies, ambassadors, and other diplomatic profiles such as consuls and missions. This shared task challenges participants to classify tweets according to the following two tasks: Task 1: propaganda identification: The first subtask is a binary classification problem. The systems must decide whether a given tweet contains propaganda techniques. Task 2 & 3: propaganda characterization: The second subtask aims to categorize the type of propaganda. The proposed categorization considers multiple techniques identified in literature that are clustered according to their rhetorical features. We propose a multiclass, multilabel classification task, where systems have to decide, for each tweet, in which of the available categories it fits. The proposed typology can be found here. Evaluation will consider a coarse grain categorization (Task 2) with four classes of propaganda (plus the negative class), and a fine-grained categorization (task 3) with 15 subclasses (plus the negative class). We encourage participation from both academic institutions and industrial organizations. To participate in the task, please fill the registration form at https://sites.google.com/view/dipromats2023/registration <https://sites.google.com/view/dipromats2023/registration?authuser=0> Important Dates: * Registration opens: January 30th, 2023 * Training data released: March 23th, 2023 * Test set release: April 11th, 2023 * Deadline for submitting runs: April 25th, 2023 * Release of evaluation results: May 9th, 2023 * Paper submission deadline: May 30th, 2023 * Camera-ready submissions for organizers: July 6th, 2023 * IberLEF Workshop: September 27, 2023, together with SEPLN 2023 Organizers: Pablo Moral, Universidad Nacional de Educación a Distancia (UNED) Guillermo Marco, Universidad Nacional de Educación a Distancia (UNED) Julio Gonzalo, Universidad Nacional de Educación a Distancia (UNED) Contact: If you have any questions or need more information, please do not hesitate to contact us at [email protected]
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