Data for: Predicting emotion reactions to news articles in social networks

Published: 24 May 2019 | Version 1 | DOI: 10.17632/t9jbz6hktn.1
Contributor(s):

Description of this data

Corpus of Spanish news articles with annotated emotional reaction distribution from tweet responses. 288 news articles, published from 01-01-20015 to 01-01-2017, were collected from three Mexican newspapers (El Universal, La Jornada and Excelsior). The annotation task was developed by four different annotators during a three month period and they tagged the emotions expressed in tweet responses to each news article. Counting of the emotions expressed in tweet responses was used to determine the distribution of these emotions in the news articles.

Experiment data files

This data is associated with the following publication:

Predicting emotional reactions to news articles in social networks

Published in: Computer Speech & Language

Latest version

  • Version 1

    2019-05-24

    Published: 2019-05-24

    DOI: 10.17632/t9jbz6hktn.1

    Cite this dataset

    Gambino, Omar J; Calvo, Hiram (2019), “Data for: Predicting emotion reactions to news articles in social networks”, Mendeley Data, v1 http://dx.doi.org/10.17632/t9jbz6hktn.1

Statistics

Views: 322
Downloads: 28

Categories

Social Networks, Spanish Language, Emotion

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

What does this mean?
You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

Report