Abstract
Since the invention of the Internet, and with the rise of social networks, information is available to all users quickly and in large quantities. One of the main sources of information on social networks is news. Among the possible options available for users to express their opinion or comment about some topic Twitter is a great tool for its users’ to express their thoughts, this makes tweets the source of data and one of the central points of this work. The content of these opinions is highly emotionally charged. By analyzing user’s comments about a news item, it is possible to determine its polarity and in turn use it as an indicator of the controversy of the news. Controversy tells us how the news affected its consumers, since if the responses are highly controversial it means that the readers opinions differed greatly, and that there was no common agreement on the news. Since there was no consensus in the responses, it can be inferred that there was a heated discussion in the comments. Those heated discussions are striking because they indicate which types of news generate more conflicts among readers and which do not.
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Macias, C., Calvo, H., Gambino, O.J. (2022). News Intention Study and Automatic Estimation of Its Impact. In: Pichardo Lagunas, O., Martínez-Miranda, J., Martínez Seis, B. (eds) Advances in Computational Intelligence. MICAI 2022. Lecture Notes in Computer Science(), vol 13613. Springer, Cham. https://doi.org/10.1007/978-3-031-19496-2_7
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