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The Intercept published an expose on the NSA's XKeyscore program. Along with information on the breadth and scale of the NSA's metadata collection, The Intercept revealed how the NSA relies on unencrypted cookie data to identify users. As The Intercept says: "The NSA’s ability to piggyback off of private companies’ tracking of their own users is a vital instrument that allows the agency to trace the data it collects to individual users. It makes no difference if visitors switch to public Wi-Fi networks or connect to VPNs to change their IP addresses: the tracking cookie will follow them around as long as they are using the same web browser and fail to clear their cookies." The NSA slides released by The Intercept give detailed guides to understanding the data transmitted by these cookies, as well as how to find unique machine identifiers that analysts can use to differentiate between multiple machines using the same IP address. We've written before about how spy agencies piggyback on social media account data to find Internet users' names or other identifying info, and these slides drive home the point that HTTP cookies leave users vulnerable to government surveillance, since any intermediary (or spy agency) can read the sensitive data they contain.

Worse yet, most of the time these identifying cookies come from third-party sources on webpages, and users have no meaningful way to opt out of receiving them (short of blocking all third party cookies) since advertisers (the main server of these types of cookies) refuse to honor the Do Not Track header.  Browser makers could help address this sort of non-consensual tracking by both advertisers and the NSA with some simple technical changes—changes that have been shown to reduce the number of third party cookies received by 67%. So far, though, they've been unwilling to build privacy protecting features in by default. Until they do, the best way for users to protect themselves is by installing a privacy protecting app like Privacy Badger, which is designed to block these types of uniquely identifying tracking cookies, or HTTPS Everywhere to block the transmission of HTTP cookies.

On Feb. 19, the European Commission released a White Paper on Artificial Intelligence outlining its wide-ranging plan to develop artificial intelligence (AI) in Europe. The commission also released a companion European data strategy, aiming to make more data sets available for business and government to promote AI development, along with a report on the safety of AI systems proposing some reforms of the commission’s product liability regime. Initial press reports about the white paper focused on how the commission had stepped back from a proposal in its initial draft for a three- to five-year moratorium on facial recognition technology. But the proposed framework is much more than that: It represents a sensible and thoughtful basis to guide the EU’s consideration of legislation to help direct the development of AI applications, and an important contribution to similar debates going on around the world. The key takeaways are that the EU plans to: Pursue a uniform approach to AI across the EU in order to avoid divergent member state requirements forming barriers to its single market. Take a risk-based, sector-specific approach to regulating AI. Identify in advance high-risk sectors and applications—including facial recognition software. Impose new regulatory requirements and prior assessments to ensure that high-risk AI systems conform to requirements for safety, fairness and data protection before they are released onto the market. Use access to the huge European market as a lever to spread the EU’s approach to AI regulation across the globe.

Chief among the groups seeking to clamp down on independent media has been Google, the massive technology company with deep connections to the U.S. intelligence community, as well as to U.S. government and business elites.

Since 2015, Google has worked to become the Internet’s “Ministry of Truth,” first through its creation of the First Draft Coalition and more recently via major changes made to its search engine that curtail public access to new sites independent of the corporate media.

Google has now stepped up its war on free speech and the freedom of the press through its popular subsidiary, YouTube. On Tuesday, YouTube announced online that it is set to begin censoring content deemed “controversial,” even if that content does not break any laws or violate YouTube’s user agreement. Misleadingly dubbed as an effort “to fight terror content online,” the new program will flag content for review through a mix of machine algorithms and “human review,” guided by standards set up by “expert NGOs and institutions” that are part of YouTube’s “Trusted Flagger” program. YouTube stated that such organizations “bring expert knowledge of complex issues like hate speech, radicalization, and terrorism.” One of the leading institutions directing the course of the Trusted Flagger program is the Anti-Defamation League (ADL). The ADL was initially founded to “stop the defamation of the Jewish people and to secure justice and fair treatment to all” but has gained a reputation over the years for labeling any critic of Israel’s government as an “anti-Semite.” For instance, characterizing Israeli policies towards the Palestinians as “racist” or “apartheid-like” is considered “hate speech” by the ADL, as is accusing Israel of war crimes or attempted ethnic cleansing. The ADL has even described explicitly Jewish organizations who are critical of Israel’s government as being “anti-Semitic.”

British and Canadian spy agencies accumulated sensitive data on smartphone users, including location, app preferences, and unique device identifiers, by piggybacking on ubiquitous software from advertising and analytics companies, according to a document obtained by NSA whistleblower Edward Snowden. The document, included in a trove of Snowden material released by Der Spiegel on January 17, outlines a secret program run by the intelligence agencies called BADASS. The German newsweekly did not write about the BADASS document, attaching it to a broader article on cyberwarfare. According to The Intercept‘s analysis of the document, intelligence agents applied BADASS software filters to streams of intercepted internet traffic, plucking from that traffic unencrypted uploads from smartphones to servers run by advertising and analytics companies.

Programmers frequently embed code from a handful of such companies into their smartphone apps because it helps them answer a variety of questions: How often does a particular user open the app, and at what time of day? Where does the user live? Where does the user work? Where is the user right now? What’s the phone’s unique identifier? What version of Android or iOS is the device running? What’s the user’s IP address? Answers to those questions guide app upgrades and help target advertisements, benefits that help explain why tracking users is not only routine in the tech industry but also considered a best practice. For users, however, the smartphone data routinely provided to ad and analytics companies represents a major privacy threat. When combined together, the information fragments can be used to identify specific users, and when concentrated in the hands of a small number of companies, they have proven to be irresistibly convenient targets for those engaged in mass surveillance. Although the BADASS presentation appears to be roughly four years old, at least one player in the mobile advertising and analytics space, Google, acknowledges that its servers still routinely receive unencrypted uploads from Google code embedded in apps.

WikiLeaks has published what it says is another batch of secret hacking manuals belonging to the US Central Intelligence Agency as part of its Vault7 series of leaks. The site is billing Vault7 as the largest publication of intelligence documents ever. Friday's installment includes 27 documents related to "Grasshopper," the codename for a set of software tools used to build customized malware for Windows-based computers. The Grasshopper framework provides building blocks that can be combined in unique ways to suit the requirements of a given surveillance or intelligence operation. The documents are likely to be of interest to potential CIA targets looking for signatures and other signs indicating their Windows systems were hacked. The leak will also prove useful to competing malware developers who want to learn new techniques and best practices. "Grasshopper is a software tool used to build custom installers for target computers running Microsoft Windows operating system," one user guide explained. "An operator uses the Grasshopper builder to construct a custom installation executable."

The information security world is focused on two new security vulnerabilities, “Spectre” and “Meltdown”, that represent vulnerabilities embedded in computer hardware. Lawfare readers should respond in two ways: keep their operating systems up to date and, critically, install an ad-blocker for your web browser. (Here are guides on how to do so in Chrome and Firefox.) In fact, a proper response to Spectre should involve ad-blocking on all government computers. Other than that, don’t worry. Readers who just wanted to know what to do can stop reading. But for those curious about some of the technical background on these vulnerabilities and why ad-blocking is an essential security measure for a modern computer, read on.

Laugh all you want, fuzzball, but Google is changing how YouTube uploaders manage comments on their videos. The new system, which began rolling out to a limited number of uploaders on Tuesday, favors relevancy over recency and introduces enhanced moderation tools. The new commenting system, which is powered by Google+ and was developed in collaboration between the YouTube and Google+ teams, provides several new tools for moderation, said Nundu Janakiram, product manager at YouTube. It will default to showing YouTube viewers the most relevant comments first, such as those by the video uploader or channel owner. "Currently, you see comments from the last random person to stop by," Janakiram said. "The new system tries to surface the most meaningful conversation to you. We're trying to shift from comments to meaningful conversations," he said.

He explained that three main factors determine which comments are more relevant: community engagement by the commenter, up-votes for a particular comment, and commenter reputation. If you've been flagged for spam or abuse, don't be surprised to find your comments buried, but that also means that celebrities who have strong Google+ reputations will be boosted above others. There's more to the system than just relevancy, though. Because the system is powered by Google+, comments made on posts with YouTube links in the social network will show up on YouTube itself. So, you'll see comments from people in your Google+ Circles higher up, too. Just because it's powered by Google+ doesn't mean that you'll lose your YouTube identity, though. "You are still allowed to use pseudonyms," said Janakiram, whether you're "a Syrian dissident or SoulPancake". Another feature, and one that speaks directly to YouTube's goal of fostering conversations, is that you'll be able to comment publicly or privately to people in your Circles. Replies will be threaded like Gmail. The hope is that new moderation tools will make it easier for video owners to guide the conversation, Janakiram explained. "There have been challenges in the past with certain comments and what's been shown there."

A definitive guide to verifying digital content for emergency coverage Authored by leading journalists from the BBC, Storyful, ABC, Digital First Media and other verification experts, the Verification Handbook is a groundbreaking new resource for journalists and aid providers. It provides the tools, techniques and step-by-step guidelines for how to deal with user-generated content (UGC) during emergencies.