社会化媒体
隐蔽的
领域(数学)
能见度
编配
社会学
公共关系
在线和离线
数字媒体
实证研究
数据科学
国家(计算机科学)
舆论
动力学(音乐)
计算机科学
互联网研究
概念框架
社会运动
政治学
互联网
实地调查
用户生成的内容
社会网络分析
新媒体
比较研究
万维网
互联网隐私
社会动力
媒体研究
社交媒体分析
数字政府
计算社会学
内容分析
媒体内容
媒体活动
范围(计算机科学)
作者
Miriam Milzner,Daniel Thiele,Baoning Gong
标识
DOI:10.6084/m9.figshare.30957572.v1
摘要
Social media environments are increasingly exploited by manipulative actors through coordinated social media manipulation (CSMM) campaigns: the intentional and deceptive orchestration of social media networks to manipulate content visibility and public opinion formation. In recent years, research on CSMM has grown rapidly, and the field lacks a systematic synthesis of empirical findings on observed campaigns. This study addresses that gap through a systematic review of 83 studies sourced from Web of Science and EBSCOHost, each analyzing observed digital traces of CSMM. We introduce a conceptual model that frames CSMM as a three-step process: covert operation, implementation, and influence. Using this model, we map the existing research findings, identify critical gaps, and outline future research directions. The review shows that research disproportionately focuses on election periods, state-backed actors, and text-based content on Twitter/X while overlooking multimodal forms, platform-specific manipulation strategies, and broader geopolitical contexts. Linking online campaigns to offline actors, as well as assessing the impact of CSMM, also remain challenges. Overall, we call for integrative analytical frameworks that incorporate comparative designs, cross-platform and multilingual analyses, and greater attention to the dynamics of audience interaction.
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