{"title":"当消极成为燃料时。COVID-19辩论中的机器人和政治两极分化","authors":"J. Robles","doi":"10.3916/C71-2022-05","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":10773,"journal":{"name":"Comunicar","volume":"30 1","pages":""},"PeriodicalIF":5.1000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cuando la negatividad es el combustible. Bots y polarización política en el debate sobre el COVID-19\",\"authors\":\"J. Robles\",\"doi\":\"10.3916/C71-2022-05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":10773,\"journal\":{\"name\":\"Comunicar\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Comunicar\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.3916/C71-2022-05\",\"RegionNum\":1,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comunicar","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.3916/C71-2022-05","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
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.
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.