TY - GEN
T1 - News Intention Study and Automatic Estimation of Its Impact
AU - Macias, Cesar
AU - Calvo, Hiram
AU - Gambino, Omar Juárez
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Natural language processing
KW - News controversy
KW - Sentiment analysis
UR - http://www.scopus.com/inward/record.url?scp=85142780617&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-19496-2_7
DO - 10.1007/978-3-031-19496-2_7
M3 - Contribución a la conferencia
AN - SCOPUS:85142780617
SN - 9783031194955
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 83
EP - 100
BT - Advances in Computational Intelligence - 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, Proceedings
A2 - Pichardo Lagunas, Obdulia
A2 - Martínez Seis, Bella
A2 - Martínez-Miranda, Juan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 21st Mexican International Conference on Artificial Intelligence, MICAI 2022
Y2 - 24 October 2022 through 29 October 2022
ER -