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来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/RRA112-21 |
来源ID | RR-A112-21 |
Bad Actors in News Reporting: Tracking News Manipulation by State Actors | |
Christian Johnson; William Marcellino | |
发表日期 | 2021-11-15 |
出版年 | 2021 |
页码 | 20 |
语种 | 英语 |
结论 | During the COVID-19 pandemic, both Russia and China engaged in news manipulation that served their political goals
An enduring collection capability would enable real-time detection and analysis of state-actor propaganda
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摘要 | COVID-19 offered authoritarian regimes, such as China and Russia, an opportunity to manipulate news media to serve state ends. Researchers conducted a scalable proof-of-concept study for detecting state-level news manipulation. Using a scalable infrastructure for harvesting global news media, and using machine-learning and data analysis workflows, the research team found that both Russia and China appear to have employed information manipulation during the COVID-19 pandemic in service to their respective global agendas. This report, the second in a series, describes these efforts, as well as the analytic workflows employed for detecting and documenting state-actor malign and subversive information efforts. This work is a potential blueprint for a detective capability against state-level information manipulation at the global scale, using existing, off-the-shelf technologies and methods. This report is part of RAND's Countering Truth Decay Initiative, which considers the diminishing role of facts and analysis in political and civil discourse and the policymaking process. |
目录 |
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主题 | Big Data ; China ; Information Operations ; The Internet ; Media Influences on Health ; Russia ; United States |
URL | https://www.rand.org/pubs/research_reports/RRA112-21.html |
来源智库 | RAND Corporation (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/524633 |
推荐引用方式 GB/T 7714 | Christian Johnson,William Marcellino. Bad Actors in News Reporting: Tracking News Manipulation by State Actors. 2021. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
RAND_RRA112-21.pdf(1137KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
1643724278311.jpg(11KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | ![]() 浏览 |
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