Residential ISP vantage points detect 36% more blocking than academic networks: of 1,947,691 matched URL tests, 72,454 non-academic tests were classified as blocking versus 52,921 academic tests. Averaged across 10 countries, the Jaccard similarity between blocked-URL sets in academic vs. non-academic networks is 0.59, indicating substantial divergence.

Iran's censorship infrastructure shifted from fully decentralized (Jaccard similarity ~0 across ISPs in 2007) to highly centralized by June 2011, when the Jaccard similarity between the national gateway AS 12880 and two other ISPs reached 0.94 and 0.95. Almost all 2011 blocking was accompanied by a blockpage containing an iframe redirecting to internal IP 10.10.34.34, providing direct evidence of a single choke-point filtering infrastructure.

§4.5, Table V detection

Locally curated URL lists elicit 3–5× higher blocking rates than global lists in high-censorship countries. In China and Yemen, local content was blocked three to five times more than globally sensitive content, attributed to language filtering and active censorship of local political discourse; China's 99% block rate on 'falun' in HTTP path vs. 81% for 'falun' in domain name further illustrates trigger sensitivity.

§5.4, §4.9, Fig. 13 evaluation

Across MENA countries (UAE, Tunisia, Oman, Iran, Qatar, Yemen, Saudi Arabia, Burma), over 80% of blockpage-delivering tests delivered the blockpage without DNS redirection, indicating transparent web proxies performing deep HTTP inspection rather than the cheaper DNS-intercept approach dominant in China. McAfee SmartFilter was identified in Qatar, Saudi Arabia, and UAE; Netsweepr in Qatar, UAE, and Yemen.

§5.1, Table VI evaluation

Yemen's national ISP (YemenNet) uses explicit blockpages for social and Internet-tools content while applying stealthy techniques — TCP RST injection and unrequited HTTP GETs — specifically for political and conflict content that is constitutionally protected. Censorship also ceases intermittently when the ISP exhausts filtering product licenses.

§4.2, Fig. 6 detection

The largest single source of censored domains in the GNL is MESA lab's SNI monitoring dataset (E21-SNI-Top200w.txt) containing 57,362 censored domains, and E21-SNI-Top120W-20221020.txt with 36,467 domains—totaling over 93K domains from network tap data alone for a single country (E21 = Ethiopia per InterSecLab attribution). A separate Xinjiang dataset (XJ-CUCC-SNI-Top200w.txt) contains 13,604 domains. These datasets "do not seem to come from popular domain lists, and instead appear to be gathered from network taps," confirming that Geedge builds censorship target lists directly from passive traffic observation.

2026-sheffey-geedge §4.2, Table 3 dpisni-blockingmeasurement-platform

Of 6,915,266 domains extracted from the 572 GiB Geedge Networks Leak (GNL), 298,955 censored domains (93.7% of all GNL-censored domains) appear in neither Tranco top-1M nor CitizenLab test lists. Measurements across China (Guangzhou/Nanjing), Myanmar, Pakistan, and Algeria confirmed censorship via DNS injection and SNI-based TLS connection termination. The GNL covers 25–62% of Tranco-censored domains across countries, showing substantial but incomplete overlap. This vendor-side ground truth reveals a censorship surface roughly two orders of magnitude larger than curated academic test lists.

2026-sheffey-geedge §4.1, Table 2 dpisni-blockingdns-poisoningmeasurement-platform

CensorAlert aggregates censorship signals from heterogeneous open sources — including OONI, Cloudflare Radar, NetBlocks, GitHub Issues of circumvention tools (Hysteria, Xray), Net4People BBS, NTC Party forum, Mastodon, X, Telegram channels, and arXiv — normalizing each item into a common schema preserving timestamp, source, raw data, and provenance with a link to the original content.

2026-zohaib-extended §2 (Data Sources) measurement-platform

Systematic measurement platforms (OONI, Censored Planet, Cloudflare Radar, NetBlocks) have inherent blind spots due to geographic coverage and protocol-specific test constraints; critical censorship discoveries — including GFW fully-encrypted protocol blocking and regional Chinese censorship — were first surfaced by user reports on forums and GitHub issue pages of circumvention tools, not by automated measurement infrastructure.

2026-zohaib-extended §1 measurement-platformfully-encrypted-detect

CensorAlert generates text embeddings (OpenAI text-embedding-3-small) from each item's summary, title, and tags to cluster semantically similar reports within configurable time windows; near-duplicates such as reposts, copied headlines, and translations are collapsed into a single canonical post that preserves all original source URLs and metadata.

2026-zohaib-extended §2 (AI-based Scoring) measurement-platform

CensorAlert's LLM agent scores each ingested item 0–5 on five independent dimensions — credibility, novelty, impact, timeliness, and verifiability — then computes a normalized significance score (0–10) from these components; items are processed every two hours using OpenAI GPT-5 Thinking (hosted on Azure) constrained to return structured JSON output.

2026-zohaib-extended §2 (AI-based Scoring) measurement-platform