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Updated: Jun 4, 2025

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content
Published on: June 29, 2016
Dataset of user's emotional reactions to news articles
Consuelo-Varinia García-Mendoza1, Omar Juarez Gambino1, Marco-Antonio Torres-López1
1Instituto Politécnico Nacional, Escuela Superior de Cómputo, ESCOM-IPN, J.D. Batiz e/ M.O. de Mendizabal, Mexico City 07738, Mexico.
Abstract:
This paper presents a dataset of news articles collected from several Mexican news sources and users' emotional reactions to these news articles. Users were presented with the collected news and, after reading it, were asked to indicate the emotion it provoked in them. The emotions considered were happy, surprised, inspired, moved, neutral, sad, fearful, and angry. This dataset offers a particular focus on emotional reactions from the reader's perspective and has great potential for use in sentiment analysis, linguistics, and media studies research. Furthermore, the news is in Spanish which is a language where resources of this type are scarce. The detailed data collection methodology provides a solid foundation for future research and development in emotion-aware news recommendation systems.
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