{"title":"非政治性内容对社交媒体政治传播的影响建模","authors":"Ilya B. Philippov, M. Khavronenko","doi":"10.1109/MLSD55143.2022.9934142","DOIUrl":null,"url":null,"abstract":"In this paper, we introduce an agent-based model of political communication on social media and use it to trace the impact of nonpolitical messages on the flow of political communication on social network sites. We conduct a numerical experiment to compare the resulting model states. The results indicate that introducing politically neutral content helps alleviate political polarization.","PeriodicalId":295604,"journal":{"name":"2022 15th International Conference Management of large-scale system development (MLSD)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling the Influence of Nonpolitical Content on Social Media Political Communication\",\"authors\":\"Ilya B. Philippov, M. Khavronenko\",\"doi\":\"10.1109/MLSD55143.2022.9934142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we introduce an agent-based model of political communication on social media and use it to trace the impact of nonpolitical messages on the flow of political communication on social network sites. We conduct a numerical experiment to compare the resulting model states. The results indicate that introducing politically neutral content helps alleviate political polarization.\",\"PeriodicalId\":295604,\"journal\":{\"name\":\"2022 15th International Conference Management of large-scale system development (MLSD)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 15th International Conference Management of large-scale system development (MLSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MLSD55143.2022.9934142\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 15th International Conference Management of large-scale system development (MLSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MLSD55143.2022.9934142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling the Influence of Nonpolitical Content on Social Media Political Communication
In this paper, we introduce an agent-based model of political communication on social media and use it to trace the impact of nonpolitical messages on the flow of political communication on social network sites. We conduct a numerical experiment to compare the resulting model states. The results indicate that introducing politically neutral content helps alleviate political polarization.