G2TT
来源类型Report
规范类型报告
DOIhttps://doi.org/10.7249/RRA704-2
来源IDRR-A704-2
Foreign Interference in the 2020 Election: Tools for Detecting Online Election Interference
William Marcellino; Christian Johnson; Marek N. Posard; Todd C. Helmus
发表日期2020-10-08
出版年2020
页码32
语种英语
结论
  • Credible evidence of interference in the 2020 election was found in Twitter communities.
  • This interference includes posts from trolls (fake personas spreading hyper-partisan themes) and superconnector accounts that appear designed to spread information.
  • This interference effort intends to sow division and undermine confidence in American democracy.
  • This interference serves Russia's interests and matches Russia's interference playbook.
  • Methods outlined in this report can help identify online interference by foreign adversaries, allowing for proactive measures.
摘要

Given past threats to U.S. elections, it is possible that foreign actors will again try to influence the U.S. political campaign season of 2020 via social media. This report, the second in a series on information efforts by foreign actors, lays out the advocacy communities on Twitter that researchers identified as arguing about the election. It goes on to describe what appears to be an instance of election interference in these communities using trolls (fake personas spreading a variety of hyperpartisan themes) and superconnectors (highly networked accounts that can spread messages effectively and quickly). Although the origin of the accounts could not be identified definitively, this interference serves Russia's interests and matches Russia's interference playbook. The report describes the methods used to identify the questionable accounts and offers recommendations for response.

目录 Foreign Interference in the 2020 Election: Tools for Detecting Online Election Interference | RAND
主题Democracy ; Information Operations ; The Internet ; Russia ; Social Media Analysis ; United States
URLhttps://www.rand.org/pubs/research_reports/RRA704-2.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/524245
推荐引用方式
GB/T 7714
William Marcellino,Christian Johnson,Marek N. Posard,et al. Foreign Interference in the 2020 Election: Tools for Detecting Online Election Interference. 2020.
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