UniOfGalway@IberLEF 2024:Hope Speech Recognition in Spanish: A Comparative Analysis of Transformer-Based Models

Hope speech detection in social media is crucial for fostering positive engagement and resilience within marginalized communities. By utilizing machine learning and NLP techniques, researchers have focused on identifying hope speech in online content, achieving F1-score between 76% and 84%. This detection of hope speech contributes to understanding how social media platforms can either create a hopeful or hostile environment, influencing community sentiments and individual identities. Recognizing and promoting hope speech is essential for enhancing interaction quality and support among users, especially within Equality, Diversity, and Inclusion initiatives, emphasizing the significance of hope in digital communication for building inclusive and supportive online ecosystems.