Overview of HOPE at IberLEF 2024: Approaching Hope Speech Detection in Social Media from Two Perspectives, for Equality, Diversity and Inclusion and as Expectations Resumen de la tarea HOPE en IberLEF 2024: Abordando la Detección del Discurso de Esperanza en los Medios Sociales desde Dos Perspectivas, para la Igualdad, la Diversidad y la Inclusión y como Expectativas

This paper presents the second edition of the international shared task on multilingual hope speech detection, HOPE 2024, conducted as part of the Iber-LEF workshop during the SEPLN 2024 conference. This shared task encompassed two distinct subtasks: the detection of hope speech within Equality, Diversity, and Inclusion texts and the identification of hope speech focusing on expectations in two-level, binary, and multiclass classification settings. Nineteen teams participated in the competition, and sixteen submitted their working notes. In the first subtask, the top-ranking team achieved an average Macro F1-score of 71.61. In the second subtask, leading teams demonstrated robust performance with F1 scores exceeding 80.00 for binary classification and 78.00 for multiclass classification settings. © 2024 Sociedad Española para el Procesamiento del Lenguaje Natural.

Overview