Odd Lots
Odd Lots

The Surprising Similarity Between the US and Chinese Internets

In the 90s, there was a lot of talk about how the Internet would be a liberalizing force in the world. Bill Clinton famously predicted that it would be impossible for China to lock down the Internet, and that this would have profound effects on domestic politics. Of course that didn't come true

Featured Speakers

Bloomberg HostYiling Liu Guest

Topics Discussed

Episode Summary

Executive Summary: The episode examines how the Chinese internet evolved from a hopeful tool for openness into a tightly managed, highly decentralized system of censorship, nationalism, and platform control. Guest Yiling Liu argues that China and the U.S. internet converged in surprising ways: centralized power, mob behavior, algorithmic influence, and identity-driven conflict now shape both, despite different political systems.

Main Topics: The collapse of internet utopianism (Priority: 5/5): The hosts open by contrasting early internet ideals of decentralization, democracy, and community with today’s reality of centralized platforms, tribalism, and conflict. The Chinese internet as a human story (Priority: 5/5): Yiling Liu explains why her book focuses on individual lives and 'dancers' navigating constraints rather than only platforms or state policy, to avoid simplistic China binaries. How censorship works in China (Priority: 5/5): The conversation details the evolution from blunt blocking of sites and words to vague, dynamic censorship that targets dissent, collective action, ideological deviations, and even lifestyle norms. Self-censorship, moderation labor, and platform incentives (Priority: 4/5): Liu describes how directives from regulators interact with platform self-censorship, large moderation teams, keyword databases, and even patriotic flooding by online mobs. Nationalism and the internet's political feedback loop (Priority: 5/5): The discussion traces the rise of online nationalism in China, especially after 2008, and argues that internet dynamics helped reinforce broader political shifts toward stronger state control. Similarity between Chinese and American internet dynamics (Priority: 5/5): Both sides now show centralized control, influencer ecosystems, algorithmic manipulation, and mob-like behavior, even if the legal and political frameworks differ. AI, governance, and future regulation (Priority: 4/5): AI is presented as making moderation and censorship easier, while China’s algorithm registry is cited as a model of more visible governance compared with the U.S.'s black-box systems.

Key Arguments: The Chinese internet cannot be understood purely through censorship statistics or platform histories; individual experiences reveal how agency survives under constraint. Censorship in China is intentionally vague, which encourages self-censorship and gives regulators flexibility to intervene when needed. Over time, Chinese censorship expanded from banning political dissent and collective action to policing ideological and moral content such as 'healthy marital values' and 'sissy boys.' Platform moderation in China remains labor-intensive despite automation, with large teams of censors and keyword databases that are strategically valuable assets. Online nationalism in China is not only top-down; it was cultivated by social events like the 2008 Olympics, the financial crisis, and resentment toward Western criticism. The U.S. and China have converged because both systems centralized power over internet discourse—state control in China, oligarch/platform control in the U.S. Internet mobs, code words, and influencer ecosystems are not uniquely Chinese; similar dynamics exist in American political and cultural internet spaces. AI may make censorship easier, but China’s formal governance structures, including an algorithm registry, also make regulation more legible than in the U.S.

Data Points: Chinese censors at Weibo in 2011: about 150 employees - The guest recalled Weibo’s early censorship team size when she first interviewed a censor who started in 2011. Chinese censors at Weibo by 2020: probably about 10,000 - The same censor estimated the company’s moderation workforce had grown dramatically by 2020. TikTok U.S. ban disruption: about 1 day - The hosts referenced the brief period when TikTok was inaccessible in the U.S., prompting users to migrate to RedNote/Xiaohongshu. Odd Lots episode length: 15 minutes - Mentioned in the Bloomberg Daybreak promo embedded in the transcript. Chinese internet code word example: grass mud horse - Discussed as a homonym-based censorship workaround; used as a punning form of resistance. Three T's: Tiananmen, Tibet, Taiwan - Early-2000s shorthand for major topics that were clearly censored in China.

Pivotal Quotes: "the censorship ecosystem thrives off vagueness" — Yiling Liu: Explaining why it is difficult to define exact censorship boundaries in China. "The same goes with censorship. So, one of the subjects that I profile is the CEO or was the CEO of this dating app, Blued. And so, if they release a censorship directive saying we don't want sissy boys on our platform, he's going to go and look very carefully at the platform and see how are we going to make sure there are no sissy boys on our app, right?" — Yiling Liu: Illustrating how vague directives are translated into company-level self-censorship. "we've allowed too much of technology to be centralized within the hands of a few people" — Yiling Liu: Summarizing the book’s thesis about why U.S. and Chinese internet dynamics have converged.

Implications: The episode suggests internet governance is trending toward more control, not less, worldwide. For listeners and policymakers, the key lesson is that concentration of power—whether by states or platforms—drives censorship, polarization, and weaker public agency.

🔓 Sign Up for Unlimited Episode Search

About Odd Lots

Bloomberg's Joe Weisenthal and Tracy Alloway analyze the weird patterns, the complex issues and the newest market crazes. Join the conversation every Tuesday and Thursday for interviews with the most interesting minds in finance, economics and markets.

View all episodes from Odd Lots