Chinese government censorship is aimed at suppressing collective action potential, not state criticism. Average censorship magnitude is 27% for collective action events but −1% for policy and −4% for news events. Posts criticizing and supporting the state are both censored at ~80% during collective action events, compared to ~10% for non-collective-action topics.

The vast majority of censorship activity occurs within 24 hours of original posting, with some deletions occurring more than 5 days later. Across 11,382,221 posts from 1,382 Chinese social media sites collected in 2011, the average censorship rate is 13%, with rates of 16%, 17%, and 24% in low, medium, and high ex ante political sensitivity topic categories respectively.

Data / Collection; Figure 2 evaluation

Censors apply categorical event-level judgment — whether a post is associated with a collective action topic — rather than per-post sentiment classification. The paper explicitly states that no known statistical or machine-learning technology can achieve the accuracy required for this task, and the authors obtained 98.9% intercoder agreement (86/87 events) using human coders applying the same five-category scheme.

Analysis Strategy / Central Hypothesis; Coding Rules detection

Keyword blocking has limited effect because users evade it through homophones (e.g., 'river crab' substituting for 'harmonious society'), homographs, analogies, metaphors, and satire; the Chinese character-based writing system provides particular affordances for this evasion. Chinese social media is distributed across approximately 1,382 sites following a power-law distribution, with blog.sina alone accounting for 59% of posts, creating highly variable enforcement across the long tail of local sites.

Data / Types of Censorship policy

Chinese censors operate primarily through manual human review, not automated classification. Hand-censorship is identified as the last and most extensive form of content filtering and cannot be evaded by clever phrasing, unlike automated keyword blocking. Individual content providers each employ up to 1,000 censors, supplemented by 20,000–50,000 Internet police and an estimated 250,000–300,000 'fifty-cent party' members at all levels of government.

Data / Types of Censorship detection

During the June 2025 shutdown, Iranian authorities blocked international One-Time Password (OTP) SMS delivery, preventing new sign-ins to foreign secure-messaging platforms and VPN services. This forced users toward government-approved domestic platforms that lack security and privacy protections. The blockade of OTPs effectively weaponized account-recovery flows as a secondary shutdown layer, disproportionately affecting users who needed to activate new circumvention tools during the crisis.

2025-iran-shutdown-measurement §Human Rights Implications port-blockingdpikeyword-filtering

Simple character-level perturbations (English) and homophone substitutions (Chinese), combined with LLM instruction-following prompts directing the model to use word substitutions in its output, successfully bypassed all input and output filters for all 41 input-blocked and 197 output-blocked queries across five major Chinese LLM services (Baidu-Chat, DeepSeek, Doubao, Kimi, Qwen). Every input-blocked query contained at least one keyword combination that alone triggered the filter, confirming keyword-matching rather than semantic classification.

2026-ablove-characterizing §VII-D keyword-filtering

Cross-national experiments conducted from Singapore, South Korea, and Taiwan during February 19–24, 2025 found no variance in blocking implementations, event syntax, or server infrastructure across all five Chinese LLM services. Input blocking was enacted identically in all three international locations, and services connected to the exact same server IP addresses globally — Kimi and Baidu-Chat connected to identical IPs and DeepSeek to the same two addresses across all tested locations.

2026-ablove-characterizing §VIII-A keyword-filtering

Input blocking in Chinese LLM services (DeepSeek, Qwen, Kimi, Doubao) is overwhelmingly consistent: all four services persistently block the exact same queries across all 5 measurement samples in both Simplified and Traditional Chinese. Output blocking is far less consistent, with only 29 out of 349 output-blocked queries blocked across all 5 samples. Baidu-Chat is exceptional: it performs almost no input blocking but instead relies heavily on post-search and output blocking (78.6% of blocks are output-phase).

2026-ablove-characterizing §VI-B keyword-filteringdpi

DeepSeek, Kimi, and Doubao all transmit analytics logs to the same Autonomous System (AS24429, Zhejiang Taobao Network Co., Ltd., a ByteDance/Volcengine subsidiary), with one monitoring endpoint IP directly overlapping between DeepSeek and Doubao. Additionally, all four non-Qwen services maintain connections with servers physically located in China throughout the chat session, transmitting user IDs, session IDs, viewport data, language preferences, and in Baidu-Chat's case, the full query text via URL-encoded CAPTCHA requests.

2026-ablove-characterizing §VI-D keyword-filtering

All five Chinese LLM services transmit partial or complete responses to the client machine even when output blocking is triggered, representing a major information leak. For DeepSeek and Qwen, truncated blocked responses are on average close in token length to full successful responses. For Baidu-Chat, the complete response is transmitted to the client but only partially rendered in the browser UI, with only a word or two visible on screen.

2026-ablove-characterizing §VI-C keyword-filtering