{"title":"非对称泛滥作为外国影响社交媒体的工具","authors":"Alexandra E. Cirone, William R. Hobbs","doi":"10.1017/psrm.2022.9","DOIUrl":null,"url":null,"abstract":"\n Research on Russian troll activity during the 2016 US presidential campaign largely focused on divisive partisan messaging. Here, we document the use of apolitical content—content that could counteract mobilization efforts and escape detection in future campaigns. We argue this resembled techniques used by autocratic regimes domestically, in “flooding” social media with entertainment content to distract from and displace mobilizing messaging. Using automated text analysis and hand coding to construct a timeline of IRA messaging on Twitter, we find left-leaning trolls posted large volumes of entertainment content in their artificial liberal community and shifted away from political content late in the campaign. Simultaneously, conservative trolls were targeting their community with increases in political content. This suggests the use of apolitical content might be an overlooked strategy to selectively manipulate levels of attention to politics.","PeriodicalId":47311,"journal":{"name":"Political Science Research and Methods","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Asymmetric flooding as a tool for foreign influence on social media\",\"authors\":\"Alexandra E. Cirone, William R. Hobbs\",\"doi\":\"10.1017/psrm.2022.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Research on Russian troll activity during the 2016 US presidential campaign largely focused on divisive partisan messaging. Here, we document the use of apolitical content—content that could counteract mobilization efforts and escape detection in future campaigns. We argue this resembled techniques used by autocratic regimes domestically, in “flooding” social media with entertainment content to distract from and displace mobilizing messaging. Using automated text analysis and hand coding to construct a timeline of IRA messaging on Twitter, we find left-leaning trolls posted large volumes of entertainment content in their artificial liberal community and shifted away from political content late in the campaign. Simultaneously, conservative trolls were targeting their community with increases in political content. This suggests the use of apolitical content might be an overlooked strategy to selectively manipulate levels of attention to politics.\",\"PeriodicalId\":47311,\"journal\":{\"name\":\"Political Science Research and Methods\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2022-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Political Science Research and Methods\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1017/psrm.2022.9\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"POLITICAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Political Science Research and Methods","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1017/psrm.2022.9","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
Asymmetric flooding as a tool for foreign influence on social media
Research on Russian troll activity during the 2016 US presidential campaign largely focused on divisive partisan messaging. Here, we document the use of apolitical content—content that could counteract mobilization efforts and escape detection in future campaigns. We argue this resembled techniques used by autocratic regimes domestically, in “flooding” social media with entertainment content to distract from and displace mobilizing messaging. Using automated text analysis and hand coding to construct a timeline of IRA messaging on Twitter, we find left-leaning trolls posted large volumes of entertainment content in their artificial liberal community and shifted away from political content late in the campaign. Simultaneously, conservative trolls were targeting their community with increases in political content. This suggests the use of apolitical content might be an overlooked strategy to selectively manipulate levels of attention to politics.