建立一个自动机制,监测政治网络模因对俄语互联网用户的影响

O. Gabrielyan, M. V. Gasparyan, Ivan V. Kravchenko
{"title":"建立一个自动机制,监测政治网络模因对俄语互联网用户的影响","authors":"O. Gabrielyan, M. V. Gasparyan, Ivan V. Kravchenko","doi":"10.37279/2413-1709-2021-7-3-12-18","DOIUrl":null,"url":null,"abstract":"The study of Internet memes is undergoing significant transformations: from traditional approaches (semiotic, structural-functional) to innovative (network, object-oriented). In the Internet environment, memes have become the most important information carrier, which makes it possible to maintain multivariate communication. The elementary and at the same time capable of reformatting the structure of the meme, its high virulence led to the emergence of new communication strategies and the representation of current events. Memes act as the optimal material through the analysis of which all the specificity of virtual communications is revealed. New communications require the involvement of new methods of studying them with the use of automated and intelligent analysis of data received on a flow basis. Internet memes are a set of unstructured data, the study of which can lead to the identification of hidden variables and the determination of patterns of distribution of memes within the Internet and social networks in particular. This is especially true of political memes, the appearance of which can be regarded as a reactive or predictive indicator that allows you to monitor the dynamics of the political situation or predict it. The article provides information on the creation of the «Memometrics» software package, which allows automated search and collection of memes with their subsequent analysis. Special attention should be paid to the use of neural networks for offline data processing on the basis of self-learning. A base of memes, combined with a formal listing of reactions to a meme, can be a preparatory stage in the process of training a neural network.","PeriodicalId":348416,"journal":{"name":"Scientific Notes of V.I. Vernadsky Crimean Federal University. Sociology. Pedagogy. Psychology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CREATION OF AN AUTOMATED MECHANISM FOR MONITORING THE INFLUENCE OF POLITICAL INTERNET MEMES ON RUSSIAN-SPEAKING INTERNET USERS\",\"authors\":\"O. Gabrielyan, M. V. Gasparyan, Ivan V. Kravchenko\",\"doi\":\"10.37279/2413-1709-2021-7-3-12-18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The study of Internet memes is undergoing significant transformations: from traditional approaches (semiotic, structural-functional) to innovative (network, object-oriented). In the Internet environment, memes have become the most important information carrier, which makes it possible to maintain multivariate communication. The elementary and at the same time capable of reformatting the structure of the meme, its high virulence led to the emergence of new communication strategies and the representation of current events. Memes act as the optimal material through the analysis of which all the specificity of virtual communications is revealed. New communications require the involvement of new methods of studying them with the use of automated and intelligent analysis of data received on a flow basis. Internet memes are a set of unstructured data, the study of which can lead to the identification of hidden variables and the determination of patterns of distribution of memes within the Internet and social networks in particular. This is especially true of political memes, the appearance of which can be regarded as a reactive or predictive indicator that allows you to monitor the dynamics of the political situation or predict it. The article provides information on the creation of the «Memometrics» software package, which allows automated search and collection of memes with their subsequent analysis. Special attention should be paid to the use of neural networks for offline data processing on the basis of self-learning. A base of memes, combined with a formal listing of reactions to a meme, can be a preparatory stage in the process of training a neural network.\",\"PeriodicalId\":348416,\"journal\":{\"name\":\"Scientific Notes of V.I. Vernadsky Crimean Federal University. Sociology. Pedagogy. Psychology\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Notes of V.I. Vernadsky Crimean Federal University. Sociology. Pedagogy. Psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37279/2413-1709-2021-7-3-12-18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Notes of V.I. Vernadsky Crimean Federal University. Sociology. Pedagogy. Psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37279/2413-1709-2021-7-3-12-18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

网络模因的研究正经历着重大的转变:从传统的方法(符号学、结构-功能)到创新的方法(网络、面向对象)。在网络环境下,模因成为最重要的信息载体,使得多元传播得以维持。它是基本的,同时也能够重新格式化模因的结构,它的高毒性导致了新的传播策略和当前事件的表现的出现。模因作为最优材料,通过对模因的分析,揭示了虚拟交流的所有特殊性。新的通信需要采用新的研究方法,并使用对接收到的数据进行自动和智能的分析。网络模因是一组非结构化数据,对其进行研究可以识别隐藏变量,确定模因在互联网和社交网络中的分布模式。政治模因尤其如此,它的出现可以被视为一种反应性或预测性指标,可以让你监控政治局势的动态或预测它。本文提供了关于创建«Memometrics»软件包的信息,该软件包允许在随后的分析中自动搜索和收集模因。要特别注意在自学习的基础上使用神经网络进行离线数据处理。模因的基础,加上对模因的正式反应列表,可以作为训练神经网络过程的准备阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CREATION OF AN AUTOMATED MECHANISM FOR MONITORING THE INFLUENCE OF POLITICAL INTERNET MEMES ON RUSSIAN-SPEAKING INTERNET USERS
The study of Internet memes is undergoing significant transformations: from traditional approaches (semiotic, structural-functional) to innovative (network, object-oriented). In the Internet environment, memes have become the most important information carrier, which makes it possible to maintain multivariate communication. The elementary and at the same time capable of reformatting the structure of the meme, its high virulence led to the emergence of new communication strategies and the representation of current events. Memes act as the optimal material through the analysis of which all the specificity of virtual communications is revealed. New communications require the involvement of new methods of studying them with the use of automated and intelligent analysis of data received on a flow basis. Internet memes are a set of unstructured data, the study of which can lead to the identification of hidden variables and the determination of patterns of distribution of memes within the Internet and social networks in particular. This is especially true of political memes, the appearance of which can be regarded as a reactive or predictive indicator that allows you to monitor the dynamics of the political situation or predict it. The article provides information on the creation of the «Memometrics» software package, which allows automated search and collection of memes with their subsequent analysis. Special attention should be paid to the use of neural networks for offline data processing on the basis of self-learning. A base of memes, combined with a formal listing of reactions to a meme, can be a preparatory stage in the process of training a neural network.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信