当消极成为燃料时。COVID-19辩论中的机器人和政治两极分化

IF 5.1 1区 文学 Q1 COMMUNICATION
Comunicar Pub Date : 2022-01-01 DOI:10.3916/C71-2022-05
J. Robles
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引用次数: 0

摘要

“社交大数据分析”的应用程序:“机器学习”的算法;“机器人”的算法;“主题建模”的算法;“辩论”的算法;“情感”的算法。本研究的主要目的是分析这些自动代理在社交网络上关于西班牙政府管理全球COVID-19大流行的辩论中所起的作用。为此,应用了社交大数据分析技术:了解用户定位的机器学习算法;机器人检测算法;了解网络辩论主题的主题建模技术,以及情感分析。COVID-19,政治机器人,政治两极分化,数字宣传,公众舆论,社交网络分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cuando la negatividad es el combustible. Bots y polarización política en el debate sobre el COVID-19
Para ello, se han aplicado técnicas de «Social Big Data Analysis»: algoritmos de «machine learning» para conocer el posicionamiento de los usuarios;algoritmos de detección de «bots»;técnicas de «topic modeling» para conocer los temas del debate en la red, y análisis de sentimiento. The main objective of this research is to analyze the role that these automated agents played in the debate on social networks about the Spanish Government's management of the global COVID-19 pandemic. For this, Social Big Data Analysis techniques were applied: machine learning algorithms to know the positioning of users;bot detection algorithms;topic modeling techniques to learn about the topics of the debate on the web, and sentiment analysis. COVID-19, political bots, political polarization, digital propaganda, public opinion, social networks analysis.
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来源期刊
Comunicar
Comunicar Multiple-
CiteScore
10.10
自引率
5.40%
发文量
40
审稿时长
20 weeks
期刊介绍: Comunicar specialized in educommunication: communication and education, ICT, audiences, new languages...; monographs specialized in current issues. Double format: printed and online; digitally, accessible in full text, free of charge, for the entire scientific community and researchers around the world. Coeditions printed in Spanish and English for the whole world. Published by Oxbridge Publishing House which collaborates with many international centres and universities.
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