Autores
Macias Sanchez Cesar
Calvo Castro Francisco Hiram
Título News Intention Study and Automatic Estimation of Its Impact
Tipo Congreso
Sub-tipo Memoria
Descripción 21st Mexican International Conference on Artificial Intelligence, MICAI 2022
Resumen 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. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Observaciones DOI 10.1007/978-3-031-19496-2_7 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 13613
Lugar Monterrey
País Mexico
No. de páginas 83-100
Vol. / Cap. v. 13613 LNAI
Inicio 2022-10-24
Fin 2022-10-29
ISBN/ISSN