Group items matching

in title, tags, annotations or url

Journalist Glenn Greenwald just dropped a pile of new secret National Security Agency documents onto the Internet. But this isn’t just some haphazard WikiLeaks-style dump. These documents, leaked to Greenwald last year by former NSA contractor Edward Snowden, are key supplemental reading material for his new book, No Place to Hide, which went on sale Tuesday. Now, you could just go buy the book in hardcover and read it like you would any other nonfiction tome. Thanks to all the additional source material, however, if any work should be read on an e-reader or computer, this is it. Here are all the links and instructions for getting the most out of No Place to Hide.

Greenwald has released two versions of the accompanying NSA docs: a compressed version and an uncompressed version. The only difference between these two is the quality of the PDFs. The uncompressed version clocks in at over 91MB, while the compressed version is just under 13MB. For simple reading purposes, just go with the compressed version and save yourself some storage space. Greenwald also released additional “notes” for the book, which are just citations. Unless you’re doing some scholarly research, you can skip this download.

No Place to Hide is, of course, available on a wide variety of ebook formats—all of which are a few dollars cheaper than the hardcover version, I might add. Pick your e-poison: Amazon, Nook, Kobo, iBooks. Flipping back and forth Each page of the documents includes a corresponding page number for the book, to allow readers to easily flip between the book text and the supporting documents. If you use the Amazon Kindle version, you also have the option of reading Greenwald’s book directly on your computer using the Kindle for PC app or directly in your browser. Yes, that may be the worst way to read a book. In this case, however, it may be the easiest way to flip back and forth between the book text and the notes and supporting documents. Of course, you can do the same on your e-reader—though it can be a bit of a pain. Those of you who own a tablet are in luck, as they provide the best way to read both ebooks and PDF files. Simply download the book using the e-reader app of your choice, download the PDFs from Greenwald’s website, and dig in. If you own a Kindle, Nook, or other ereader, you may have to convert the PDFs into a format that works well with your device. The Internet is full of tools and how-to guides for how to do this. Here’s one:

Pending before federal magistrate judge James Orenstein is the government’s request for an order obligating Apple, Inc. to unlock an iPhone and thereby assist prosecutors in decrypting data the government has seized and is authorized to search pursuant to a warrant. In an order questioning the government’s purported legal basis for this request, the All Writs Act of 1789 (AWA), Judge Orenstein asked Apple for a brief informing the court whether the request would be technically feasible and/or burdensome. After Apple filed, the court asked it to file a brief discussing whether the government had legal grounds under the AWA to compel Apple’s assistance. Apple filed that brief and the government filed a reply brief last week in the lead-up to a hearing this morning.

We’ve long been concerned about whether end users own software under the law. Software owners have rights of adaptation and first sale enshrined in copyright law. But software publishers have claimed that end users are merely licensees, and our rights under copyright law can be waived by mass-market end user license agreements, or EULAs. Over the years, Granick has argued that users should retain their rights even if mass-market licenses purport to take them away. The government’s brief takes advantage of Apple’s EULA for iOS to argue that Apple, the software publisher, is responsible for iPhones around the world. Apple’s EULA states that when you buy an iPhone, you’re not buying the iOS software it runs, you’re just licensing it from Apple. The government argues that having designed a passcode feature into a copy of software which it owns and licenses rather than sells, Apple can be compelled under the All Writs Act to bypass the passcode on a defendant’s iPhone pursuant to a search warrant and thereby access the software owned by Apple. Apple’s supplemental brief argues that in defining its users’ contractual rights vis-à-vis Apple with regard to Apple’s intellectual property, Apple in no way waived its own due process rights vis-à-vis the government with regard to users’ devices. Apple’s brief compares this argument to forcing a car manufacturer to “provide law enforcement with access to the vehicle or to alter its functionality at the government’s request” merely because the car contains licensed software. 

This is an interesting twist on the decades-long EULA versus users’ rights fight. As far as we know, this is the first time that the government has piggybacked on EULAs to try to compel software companies to provide assistance to law enforcement. Under the government’s interpretation of the All Writs Act, anyone who makes software could be dragooned into assisting the government in investigating users of the software. If the court adopts this view, it would give investigators immense power. The quotidian aspects of our lives increasingly involve software (from our cars to our TVs to our health to our home appliances), and most of that software is arguably licensed, not bought. Conscripting software makers to collect information on us would afford the government access to the most intimate information about us, on the strength of some words in some license agreements that people never read. (And no wonder: The iPhone’s EULA came to over 300 pages when the government filed it as an exhibit to its brief.)

Then we put the data up, but the problem with Solr was it didn’t have a user interface, so we used Project Blacklight, which is open source software normally used by librarians. We used it for the journalists. It’s simple because it allows you to do faceted search—so, for example, you can facet by the folder structure of the leak, by years, by type of file. There were more complex things—it supports queries in regular expressions, so the more advanced users were able to search for documents with a certain pattern of numbers that, for example, passports use. You could also preview and download the documents. ICIJ open-sourced the code of our document processing chain, created by our web developer Matthew Caruana Galizia. We also developed a batch-searching feature. So say you were looking for politicians in your country—you just run it through the system, and you upload your list to Blacklight and you would get a CSV back saying yes, there are matches for these names—not only exact matches, but also matches based on proximity. So you would say “I want Mar Cabra proximity 2” and that would give you “Mar Cabra,” “Mar whatever Cabra,” “Cabra, Mar,”—so that was good, because very quickly journalists were able to see… I have this list of politicians and they are in the data!

Last Sunday, April 3, the first stories emerging from the leaked dataset known as the Panama Papers were published by a global partnership of news organizations working in coordination with the International Consortium of Investigative Journalists, or ICIJ. As we begin the second week of reporting on the leak, Iceland’s Prime Minister has been forced to resign, Germany has announced plans to end anonymous corporate ownership, governments around the world launched investigations into wealthy citizens’ participation in tax havens, the Russian government announced that the investigation was an anti-Putin propaganda operation, and the Chinese government banned mentions of the leak in Chinese media. As the ICIJ-led consortium prepares for its second major wave of reporting on the Panama Papers, we spoke with Mar Cabra, editor of ICIJ’s Data & Research unit and lead coordinator of the data analysis and infrastructure work behind the leak. In our conversation, Cabra reveals ICIJ’s years-long effort to build a series of secure communication and analysis platforms in support of genuinely global investigative reporting collaborations.

For communication, we have the Global I-Hub, which is a platform based on open source software called Oxwall. Oxwall is a social network, like Facebook, which has a wall when you log in with the latest in your network—it has forum topics, links, you can share files, and you can chat with people in real time.

On the 21st floor of a high-rise hotel in Cleveland, in a room full of political operatives, Microsoft’s Research Division was advertising a technology that could read each facial expression in a massive crowd, analyze the emotions, and report back in real time. “You could use this at a Trump rally,” a sales representative told me. At both the Republican and Democratic conventions, Microsoft sponsored event spaces for the news outlet Politico. Politico, in turn, hosted a series of Microsoft-sponsored discussions about the use of data technology in political campaigns. And throughout Politico’s spaces in both Philadelphia and Cleveland, Microsoft advertised an array of products from “Microsoft Cognitive Services,” its artificial intelligence and cloud computing division. At one exhibit, titled “Realtime Crowd Insights,” a small camera scanned the room, while a monitor displayed the captured image. Every five seconds, a new image would appear with data annotated for each face — an assigned serial number, gender, estimated age, and any emotions detected in the facial expression. When I approached, the machine labeled me “b2ff” and correctly identified me as a 23-year-old male.

“Realtime Crowd Insights” is an Application Programming Interface (API), or a software tool that connects web applications to Microsoft’s cloud computing services. Through Microsoft’s emotional analysis API — a component of Realtime Crowd Insights — applications send an image to Microsoft’s servers. Microsoft’s servers then analyze the faces and return emotional profiles for each one. In a November blog post, Microsoft said that the emotional analysis could detect “anger, contempt, fear, disgust, happiness, neutral, sadness or surprise.” Microsoft’s sales representatives told me that political campaigns could use the technology to measure the emotional impact of different talking points — and political scientists could use it to study crowd response at rallies.

Facial recognition technology — the identification of faces by name — is already widely used in secret by law enforcement, sports stadiums, retail stores, and even churches, despite being of questionable legality. As early as 2002, facial recognition technology was used at the Super Bowl to cross-reference the 100,000 attendees to a database of the faces of known criminals. The technology is controversial enough that in 2013, Google tried to ban the use of facial recognition apps in its Google glass system. But “Realtime Crowd Insights” is not true facial recognition — it could not identify me by name, only as “b2ff.” It did, however, store enough data on each face that it could continuously identify it with the same serial number, even hours later. The display demonstrated that capability by distinguishing between the number of total faces it had seen, and the number of unique serial numbers. Photo: Alex Emmons

When you pay for federally funded research, you should be allowed to read it. That’s the idea behind the Fair Access to Science and Technology Research Act (S.1701, H.R.3427), which was recently reintroduced in both houses of Congress. FASTR was first introduced in 2013, and while it has strong support in both parties, it has never gained enough momentum to pass. We need to change that. Let’s tell Congress that passing an open access law should be a top priority.

Tell Congress: It’s time to move FASTR The proposal is pretty simple: Under FASTR, every federal agency that spends more than $100 million on grants for research would be required to adopt an open access policy. The bill gives each agency flexibility to implement an open access policy suited to the work it funds, so long as research is available to the public after an “embargo period” of a year or less. One of the major points of contention around FASTR is how long that embargo period should be. Last year, the Senate Homeland Security and Governmental Affairs Committee approved FASTR unanimously, but only after extending that embargo period from six months to 12, putting FASTR in line with the 2013 White House open access memo. That’s the version that was recently reintroduced in the Senate.  The House bill, by contrast, sets the embargo period at six months. EFF supports a shorter period. Part of what’s important about open access is that it democratizes knowledge: when research is available to the public, you don’t need expensive journal subscriptions or paid access to academic databases in order to read it. A citizen scientist can use and build on the same body of knowledge as someone with institutional connections. But in the fast-moving world of scientific research, 12 months is an eternity. A shorter embargo is far from a radical proposition, especially in 2017. The landscape for academic publishing is very different from what it was when FASTR was first introduced, thanks in larger part to nongovernmental funders who already enforce open access mandates. Major foundations like Ford, Gates, and Hewlett have adopted strong open access policies requiring that research be not only available to the public, but also licensed to allow republishing and reuse by anyone.

Just last year, the Gates Foundation made headlines when it dropped the embargo period from its policy entirely, requiring that research be published openly immediately. After a brief standoff, major publishers began to accommodate Gates’ requirements. As a result, we finally have public confirmation of what we’ve always known: open access mandates don’t put publishers out of business; they push them to modernize their business models. Imagine how a strong open access mandate for government-funded research—with a requirement that that research be licensed openly—could transform publishing. FASTR may not be that law, but it’s a huge step in the right direction, and it’s the best option on the table today. Let’s urge Congress to pass a version of FASTR with an embargo period of six months or less, and then use it as a foundation for stronger open access in the future.

Therein lies one of the biggest problems with traditional RSVP. Each time you see text that is not centered properly on the ORP position, your eyes naturally will look for the ORP to process the word and understand its meaning. This requisite eye movement creates a “saccade”, a physical eye movement caused by your eyes taking a split second to find the proper ORP for a word. Every saccade has a penalty in both time and comprehension, especially when you start to speed up reading. Some saccades are considered by your brain to be “normal” during reading, such as when you move your eye from left to right to go from one ORP position to the next ORP position while reading a book. Other saccades are not normal to your brain during reading, such as when you move your eyes right to left to spot an ORP. This eye movement is akin to trying to read a line of text backwards. In normal reading, you normally won’t saccade right-to-left unless you encounter a word that your brain doesn’t already know and you go back for another look; those saccades will increase based on the difficulty of the text being read and the percentage of words within it that you already know. And the math doesn’t look good, either. If you determined the length of all the words in a given paragraph, you would see that, depending on the language you’re reading, there is a low (less than 15%) probability of two adjacent words being the same length and not requiring a saccade when they are shown to you one at a time. This means you move your eyes on a regular basis with traditional RSVP! In fact, you still move them with almost every word. In general, left-to-right saccades contribute to slower reading due to the increased travel time for the eyeballs, while right-to-left saccades are discombobulating for many people, especially at speed. It’s like reading a lot of text that contains words you don’t understand only you DO understand the words! The experience is frustrating to say the least.