Why EXIST?

Welcome to the website of EXIST 2023, the third edition of the sEXism Identification in Social neTworks task at CLEF 2023.

EXIST is a series of scientific events and shared tasks on sexism identification in social networks. EXIST aims to capture sexism in a broad sense, from explicit misogyny to other subtle expressions that involve implicit sexist behaviours (EXIST 2021, EXIST 2022). The third edition of EXIST shared task will be held as a Lab in CLEF 2023, on September 18-21, 2023, in the Centre for Research & Technology Hellas (CERTH), Thessaloniki, Greece.

Social Networks are the main platforms for social complaint, activism, etc., and movements like #MeTwoo, #8M or #Time’sUp have spread rapidly. Under the umbrella of social networks, many women all around the world have reported abuses, discriminations and other sexist experiences they have suffered in real life. In this context, automatic tools can help to estimate the real impact of sexisms in, for example, a country, as well as the different types of sexism their women are suffering. However, this opens new challenges in the automatic identification of sexism, such as the identification of the intention of the sexist message. Twitter is continuously creating new ways to identify and eradicate hateful content, that range from warnings to the deletion of harmful tweets and even to the permanent suspension of users. However, despite making a great effort and using many human resources, they are facing many difficulties when dealing with the huge amount of data generated by users. Thus, automatically identifying subtle and non-violent forms of sexism remains a challenge. This Lab will contribute to developing applications to detect sexism content in social media.

In previous editions, 50 teams from more than 15 countires submitted their results achieving impressive results, especially in the first task. However, there is still room for improvement, especially in the task of categorizing sexism according to the facet of the women that is undermined.

In this new edition we will also address a new task and face the sexism identification from the perspective of the learning with disagreemnt paradigm.

Tasks

TASK 1: Sexism Identification

Details will be available soon.

TASK 2: Sexism Categorization

Details will be available soon.

TASK 3: Source Intention

Details will be available soon.

Organizers

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Damiano Spina

RMIT University

Senior Lecturer

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Enrique Amigó

UNED

Associate Professor

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Jorge Carrillo-de-Albornoz

UNED

Associate Professor

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Julio Gonzalo

UNED

Full Professor

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Laura Plaza

UNED

Associate Professor

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Paolo Rosso

Universitat Politècnica de València

Full Professor

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Roser Morante

UNED

Researcher in Computational Linguistic