PoliticIT at EVALITA 2023: Overview of the Political Ideology Detection in Italian Texts Task

Daniel Russo*, Salud María Jiménez-Zafra, José Antonio García-Díaz, Tommaso Caselli, Marco Guerini, L. Alfonso Ureña-López, Rafael Valencia-García

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
97 Downloads (Pure)

Abstract

This paper presents the PoliticIT 2023 shared task, organised at EVALITA 2023 workshop. The task aims to extract politicians' ideology information from a set of tweets in Italian framed as a binary and a multiclass classification. The task is designed to be privacy-preserving and it is accompanied by a subtask targeting the identification of self-assigned gender as a demographic trait. The PoliticIT task attracted 7 teams that registered for the task, submitted results and presented working notes describing their systems. Most of the teams proposed transformer-based approaches, while some of them also used traditional machine learning algorithms or even a combination of both.

Original languageEnglish
Title of host publicationProceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023)
EditorsMirko Lai, Stefano Menini, Marco Polignano, Valentina Russo, Rachele Sprugnoli, Giulia Venturi
PublisherCEUR Workshop Proceedings (CEUR-WS.org)
Number of pages8
Publication statusPublished - 2023
Event8th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop, EVALITA 2023 - Parma, Italy
Duration: 7-Sept-20238-Sept-2023

Publication series

NameCEUR Workshop Proceedings
Volume3473
ISSN (Print)1613-0073

Conference

Conference8th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop, EVALITA 2023
Country/TerritoryItaly
CityParma
Period07/09/202308/09/2023

Keywords

  • Author analysis
  • Author profiling
  • Demographic
  • Political ideology
  • psychographic traits

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