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Found 4 papers, 2 papers with code
FNDaaS: Content-agnostic Detection of Fake News sites
Past studies have proposed machine learning-based methods for detecting such fake news, focusing on different properties of the published news articles, such as linguistic characteristics of the actual content, which however have limitations due to the apparent language barriers.
The Rise and Fall of Fake News sites: A Traffic Analysis
In this paper, we perform a first of its kind investigation to answer such questions regarding the online presence of fake news websites and characterize their behavior in comparison to real news websites.
User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users
As a result, users' choices play very little role with respect to tracking: we measured that more than 75% of tracking activities happened before users had the opportunity to make a selection in the cookie consent banner, or when users chose to reject all cookies.
Computers and Society Cryptography and Security K.4.2
Cookie Synchronization: Everything You Always Wanted to Know But Were Afraid to Ask
In this paper, we perform a first to our knowledge in-depth study of CSync in the wild, using a year-long weblog from 850 real mobile users.
