Search Results for: tencent

WeChat Surveillance Explained

On May 7 2020, the Citizen Lab published a report that documents how WeChat (the most popular social app in China) conducts surveillance of images and files shared on the platform and uses the monitored content to train censorship algorithms. This document provides a summary of the research findings and questions and answers from the research team.

(Can’t) Picture This 2: An Analysis of WeChat’s Realtime Image Filtering in Chats

In this work, we study how Tencent implements image filtering on WeChat. We found that Tencent implements realtime, automatic censorship of chat images on WeChat based on what text is in an image and based on an image’s visual similarity to those on a blacklist. Tencent facilitates this realtime filtering by maintaining a hash index of MD5 hashes of sensitive image files.

Citizen Lab 2016 Report highlights and year in review

This post recaps Citizen Lab’s major research reports for 2016, which span issues surrounding censorship, surveillance, privacy, and cybersecurity as they relate to fitness trackers, political dissidents, social media users, and more.

Cashless Society, Cached Data: Are Mobile Payment Systems Protecting Chinese Citizens’ Data?

This research series presents an in-depth examination of mobile payment systems, a rapidly evolving form of financial technology. We will provide an overview of how they are used in China–where they are taking off faster than anywhere else in the world–and what implications their security and data protection practices may have for millions of users, by presenting a case study on Alipay.