- Cyborg UnPlug — sits on your wifi network and will alert you if it finds Google Glass, Dropcam, spycams, and other unwanted wifi Klingons. Or it can automatically send deauth packets to those devices to try and boot them off the network.
- How Complex Systems Fail (PDF) — That practitioner actions are gambles appears clear after accidents; in general, post hoc analysis regards these gambles as poor ones. But the converse: that successful outcomes are also the result of gambles; is not widely appreciated.
- Schnail Mail — exciting new startup idea.
- Mapping Digital Media (Open Society) — analysis of media, online and off, in various regions and discussion of how it’s changing. Among the global findings: digitization has brought no pressure to reform state broadcasters, less than one-third of countries found that digital media have helped to expand the social impact of investigative journalism, and digitization has not significantly affected total news diversity.
"future of journalism" entries
Surveillance Demarcation, NYT Data Scientist, 2D Dart, and Bayesian Database
- Reform Government Surveillance — hard not to view this as a demarcation dispute. “Ruthlessly collecting every detail of online behaviour is something we do clandestinely for advertising purposes, it shouldn’t be corrupted because of your obsession over national security!”
- Brian Abelson — Data Scientist at the New York Times, blogging what he finds. He tackles questions like what makes a news app “successful” and how might we measure it. Found via this engaging interview at the quease-makingly named Content Strategist.
- StageXL — Flash-like 2D package for Dart.
- BayesDB — lets users query the probable implications of their data as easily as a SQL database lets them query the data itself. Using the built-in Bayesian Query Language (BQL), users with no statistics training can solve basic data science problems, such as detecting predictive relationships between variables, inferring missing values, simulating probable observations, and identifying statistically similar database entries. Open source.
Cheap Attack Drones, Truth Filters, Where Musicians Make Money, and Dynamic Pricing From Digitized Analogue Signals
- Chinese Attack UAV (Alibaba) — Small attack UAV is characterized with small size, light weight, convenient carrying, rapid outfield expansion procedure, easy operation and maintenance; the system only needs 2-3 operators to operate, can be carried by surveillance personnel to complete the attack mission. (via BoingBoing)
- TruthTeller Prototype (Washington Post) — speech-to-text, then matches statements against known facts to identify truth/falsehoods. Still a prototype but I love that, in addition to the Real Time Coupon Specials From Hot Singles Near You mobile advertising lens, there might be a truth lens that technology helps us apply to the world around us.
- Money from Music: Survey Evidence on Musicians’ Revenue and Lessons About Copyright Incentives — 5,000 American musicians surveyed, For most musicians, copyright does not provide much of a direct financial reward for what they are producing currently. The survey findings are instead consistent with a winner-take-all or superstar model in which copyright motivates musicians through the promise of large rewards in the future in the rare event of wide popularity. This conclusion is not unfamiliar, but this article is the first to support it with empirical evidence on musicians’ revenue. (via TechDirt)
- Max Levchin’s DLD13 Keynote — I believe the next big wave of opportunities exists in centralized processing of data gathered from primarily analog systems. […] There is also a neat symmetry to this analog-to-digtail transformation — enabling centralization of unique analog capacities. As soon as the general public is ready for it, many things handled by a human at the edge of consumption will be controlled by the best currently available human at the center of the system, real time sensors bringing the necessary data to them in real time.
Old Periodicals, Learning to Code, Substituting for Newspapers, and Charty Font
- Many Old Periodicals — I’m working my way through the back issues of “Thrilling Love”. Sample story, Moonmist for Mary by Dorothy Daniels, from Feb 1950. Filing clerk Mary wins the heart of her secret coworker romance AND closes the sale AND is promised stock. It’s torn from the pages of real life, I tell ya!
- Please Don’t Learn to Code (Jeff Atwood) — my take: everyone who is a “knowledge worker” should learn to program (who of us has not seen people wasting time with something we could automate in 10 lines of code?). It’s hard to justify an adult like Bloomberg to take the time to learn to code, because he’s already powerful and can hire other people to code. For this reason, I think kids should routinely be taught computational thinking (decomposition, pattern matching, etc.) and programming as a useful application of these skills. (via Jim Stogdill)
- Fungible News — Here’s my hypothesis. Educated people over forty have come to assume that journalism, whether on television, radio, print or the web, is the most convenient way to get answers to questions like what’s on the television, what’s going on in my neighborhood, who got elected, who is making a mess of things, any new music I should hear? […] The younger the person you ask, the less likely it is you’ll find that link between wanting to know what’s going on and grabbing a paper or opening up a news website. They use Pinterest to figure out what’s fashionable and Facebook to see if there’s anything fun going on next weekend. They use Facebook just the same to figure out whether there’s anything they need to be upset about and need to protest against. (via Phil Lindsay)
- FF-Chartwell, a Graph-Making Font — brilliant! Font uses ligatures to show graphs. This is an elegant hack in so many ways, for example: copy and paste and you get the bare numbers! (via Chris Spurgeon)
Robuttics, Ads-In-Your-Face Book, Pricing News, and Traffic News
- Shiri = Japanese Robotic Ass (YouTube) — I couldn’t watch after 2m30s or so when he starts slapping the robot ass. I never imagined a butt as UI. I eagerly await the hobbyist version, the Arduino Ass Shield. (via Ed Yong)
- Facebook Tests ‘Pay to Promote’ Tool (BBC) — pay to raise prominence of your message, feature being tested in New Zealand. It’s when they offer splash-screen unclosable must-sit-through autoplay video ads as a product that the shark will have been jumped, caught, stripped off fins, and dumped in the ocean with a “EAT AT MORTIE’S” neon sign on its rotting corpse.
- The Newsonomics of Pricing 101 (Nieman Lab) — observes that we are starting to get data on what people will pay for, and how much. Subscribers of the Economist didn’t generally know how much they were paying, and over-estimated the price—suggesting they’d pay more. That suggests pricing power. It makes sense that publishers, new to the pricing trade, have approached it gingerly. Yet the circulation revenue upside may well be substantial. (via Julie Starr)
- Head of Google News on the Future of News — In 2009, the typical news site saw 50% of their unique traffic coming to their homepage, 20-25% from search, and 30-35% from story pages. Social was almost nonexistent. We’re now seeing the homepage receive only 25% of inbound traffic, search with 30-35%, and the rest going to story pages, a huge portion of which is driven by social networks. The Atlantic said they’re seeing 30-35% of their traffic coming from social environments. (via Tim O’Reilly)
PayPal is censoring, pirates are opportunities, and newspapers are doomed.
PayPal's demand on Smashwords is a wolf in sheep's clothing. Elsewhere, proposals to get publishers past piracy and a newspaper study reports grim results.
Marc Herman on why he published "The Shores of Tripoli" as a Kindle Single.
Instead of walking his latest long-form story door to door, freelance journalist Marc Herman decided to blaze his own trail — he published the story as a Kindle Single. In this interview he talks about the Kindle Single experience and offers his take on the future of journalism.