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Network Contagion Research Institute Intelligence Report 8 18.9% (3.8% to 22.7%). Specific values for each keyword and platform are displayed in the following table: Intercoder Disagreement Tibet Tiananmen Uyghur Xinjiang TikTok 13.5% 3.8% 7.7% 9% Instagram 16.3% 14% 8.3% 20.3% YouTube 21% 12% 4.1% 22.7% Table 1: Intercoder Disagreement in Content Coding Our analysis utilized a systematic approach to coding video content, ensuring consistency and accuracy in categorizing videos. The coding parameters were customized for each keyword, and served as a blueprint for human analysts responsible for the process: Xinjiang ● ● ● ● Pro-China: Official promotional content, frontier influencer content, showcasing of minorities’ folk customs while whitewashing cultural erasure, idyllic portrayals of rural life, claims of Western narrative misrepresentation Anti-China: Content highlighting Uyghurs’ plight in China, calls for boycotts of Chinese products grown in Xinjiang, Chinese human rights abuses and suppression of internal dissent Neutral: Personal photos, informational graphics, unbiased news reports, historical artifacts, consumer goods Irrelevant: Content unrelated to Xinjiang, apolitical Xinjiang diaspora content Uyghur ● ● ● ● Pro-China: Highlight Uyghur/Xinjiang folk culture (food, dance, dress, women), frontier influencers exploring Xinjiang/Uyghur heartland Anti-China: Content highlighting Uyghurs’ plight in China, unlawful detention, cultural erasure, suppression of civil liberties, etc. Neutral: Diasporic communities, apolitical Uyghur-language songs or media, professional travel photographers and/or Western tourists unaffiliated with official operators. Irrelevant: Content unrelated to Uyghurs

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The CCP's Digital Charm Offensive: How TikTok's Search Algorithm and Pro-China Influence Networks Indoctrinate GenZ Users in the United States

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English

Topic

Information Operation

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Network Contagion Research Institute

Date Published: Aug 8, 2024

Abstract: In December 2023, the Network Contagion Research Institute (NCRI) published an initial report that found a strong possibility of content on TikTok being either amplified or suppressed based on its alignment with the interests of the Chinese Government. The report concluded with a warning: “should future research find that TikTok users exhibit attitudes and assessments of world events aligned with these information distortions, democracies will need to consider appropriate countermeasures to protect information integrity and mitigate potential real-world impacts.” These findings underscored the urgency of investigating the specific mechanisms and broader implications of potential algorithmic manipulations. While our initial study shed light on the potential for content manipulation on TikTok, it did not explore whether specific moderation algorithms or practices are used to suppress topics sensitive to the Chinese Communist Party (CCP). Moreover, it did not compare the nature and impact of pro- and anti-CCP content across other major social media platforms like Instagram and YouTube. This current report addresses these gaps by providing a more comprehensive analysis of TikTok's moderation practices, examining the nature and prevalence of CCP-sensitive content, and evaluating how different platforms handle such content. Furthermore, this study explores the association between social media platform usage and pro-CCP attitudes among users. By combining user journey data, survey research, and cross-platform comparisons, we uncover the extent to which TikTok and other platforms may influence user perceptions and behaviors in favor of the CCP. The publication of this research precedes the delivery of oral arguments for TikTok Inc. and ByteDance Ltd. v. Merrick B. Garland, a federal court case that has subjected the TikTok algorithm to intensive new scrutiny. As detailed in the DOJ’s response to TikTok’s lawsuit, “covert content manipulation” is an area of legal interest for the DOJ, not to mention its relevance to the broader U.S. intelligence and national security community. That said, within the DOJ response it is noted that definitively proving covert content manipulation by the Chinese government remains a challenge. As FBI Director Wray testified to in multiple hearings, “[t]his sort of manipulation of the algorithm would be difficult to detect..."1 This research gap sets the stage for our findings, which, while not definitive proof of state orchestration, present compelling and strong circumstantial evidence of TikTok’s covert content manipulation. In response to the DOJ's acknowledgment of challenges in proving manipulation by the Chinese government, our findings present the following circumstantial evidence: • Algorithmic Bias: TikTok's algorithms consistently amplify pro-CCP content and suppress anti-CCP narratives. • Content Origination: Much of the pro-CCP content originates from state-linked entities, including media outlets and influencers. • Psychological Impact: Survey data shows significant shifts in user attitudes towards China, especially among heavy TikTok users, indicating successful indoctrination. These points collectively indicate a systematic manipulation of information, suggesting that propaganda produced by state actors and orchestrated through assets owned or influenced by them shapes user perceptions at a massive scale.

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The CCP's Digital Charm Offensive: How TikTok's Search Algorithm and Pro-China Influence Networks Indoctrinate GenZ Users in the United States

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