Jeffrey Knockel

Articles

Not OK on VK: An Analysis of In-Platform Censorship on Russia’s VKontakte

This report examines the accessibility of certain types of content on VK (an abbreviation for “VKontakte”), a Russian social networking service, in Canada, Ukraine, and Russia. Among these countries, we found that Russia had the most limited access to VK social media content, due to the blocking of 94,942 videos, 1,569 community accounts, and 787 personal accounts in the country.

Should We Chat? Privacy in the WeChat Ecosystem

We conducted the first analysis of WeChat’s tracking ecosystem. Using reverse engineering methods to intercept WeChat’s network requests, we identified exactly what types of data the WeChat app is sending to its servers, and when. This report is part one of a two-part series on a privacy and security analysis of the WeChat ecosystem.

Privacy in the WeChat Ecosystem Explained

This FAQ accompanies the full report on privacy in the WeChat ecosystem. We analyzes privacy issues with popular app WeChat by reviewing the data collected by the app and sent to WeChat servers during the regular operation of its various features. We find that they collect more usage data than is disclosed in the WeChat privacy policy.

FAQ: A comparison of search censorship in China

We discovered over 60,000 unique censorship rules used to partially or totally censor search results across eight China-accessible search platforms analyzed. These findings call into question the ability of non-Chinese technology companies to better resist censorship demands than their Chinese counterparts.

Missing Links: A comparison of search censorship in China

We discovered over 60,000 unique censorship rules used to partially or totally censor search results across eight China-accessible search platforms analyzed. These findings call into question the ability of non-Chinese technology companies to better resist censorship demands than their Chinese counterparts.

微軟必應自動建議在北美審查與中國政治相關的關鍵詞

本報告研究微軟必應自動建議功能(autosuggestion)針對人名的審查。我們發現,除了審查與色情相關的人名,第二大被微軟必應審查的人名類別是與中國領導人,異議人士相關以及其他在中國被認為是政治敏感的人名。

微软必应自动建议在北美审查与中国政治相关的关键词

本报告研究微软必应自动建议功能(autosuggestion)针对人名的审查。我们发现,除了审查与色情相关的人名,第二大被微软必应审查的人名类别是与中国领导人,异议人士相关以及其他在中国被认为是政治敏感的人名。