This follows a complaint having been lodged with the European Commission privacy watchdog. According to LinkedIn, the move is meant to alleviate risk of confusion about whether EU citizens could be indirectly targeted based on special categories of data or related profiling categories.
New York’s governor has expressed support for the Stop Addictive Feeds Exploitation (SAFE) for Kids Act and is expected to sign it into law soon. The state attorney general, whose office would be tasked with enforcing the law, also supports it. SAFE would ban internet companies from exploiting children’s data and from using addictive algorithms to keep kids ages 18 and under hooked on social media.
Core tenets include only using data to fulfill a request but not retaining it; having privacy components not dependent on outside components; ensuring PCC doesn’t contain privileges to bypass privacy protection; ensuring attackers cannot access individual data; and ensuring verifiable transparency to security researchers.
Media mix models (MMM), originally developed in the 1960’s, have undergone a resurgence as new technologies make them easier to execute and click-based attribution becomes less credible. But evaluating MMM brings its own challenges. Australia-based Mutinex offers a vendor-neutral Open Source MMM Validation Framework which is now available for free to North American marketers and agencies.