Good Monday morning. It’s September 30th. Shanah tova. Rosh Hashanah, the Jewish New Year holiday, began at sundown local time yesterday and ends tomorrow. 

Today’s Spotlight takes about 4 minutes to read. Here is a contact form if you want to talk about anything here.

2. News To Know Now

1. MIT researchers say that limiting WhatsApp’s distribution reduces the amount of disinformation publicized. The Facebook owned company limited accounts to forwarding messages from 256 groups to 20 groups and again to 5 groups. That’s important because an Oxford social media study released last week found that 70 countries are using computational propaganda to influence public opinion with 25 of them partnering with private firms to publish disinformation.

2.  Facebook will neutralize some fear-based advertising on Facebook and Instagram by creating rules to block certain weight loss products and cosmetic procedures from being displayed to users under the age of 18.

3. An ability to preserve thousands of languages spoken by small numbers of people is one overlooked benefit of social media according to a thoughtful essay by Dr. Raphael T. Garcia. He writes that YouTube’s reach and capabilities allow activists to preserve languages that may only be spoken by thousands of people.

3.  Government Data Mining, Part 3: The Algorithms 

Our government data mining analysis covers four areas over four weeks.

1. Facial recognition’s growthtwo weeks ago
2. Ancillary data from applicationslast week
3. National and local algorithms to make sense of all the data – below
4. Extensions into areas like personal health records and trackers  – next week

DNA testing at home led to big databases stuffed with results—and helped police solve multiple cold case crimes, including a 52 year old murder case in Seattle. GEDmatch, one of the larger aggregators of uploaded DNA data, is the database police most often use. That old Seattle case and the Golden State Killer case received headline attention, but law enforcement agencies are solving dormant cases every week using this unique collaboration between the public and law enforcement.

Users can opt-in to allow police genealogy experts to work with crime scene DNA results, genealogy hobbyist results, and create family trees for people who are still living. 

Technology is also fueling the New York Police Department’s real life exampleofa detective movie staple. Using software they developed and then made public for free, the NYPD uses Patternizr to find similarities between crimes. Like the genealogy situation, Patternizr requires human analysts to sort through the program’s output and decide which results to send to detectives.

Police are also finding new ways to use older technology like cameras and scanners. In London, the BBC reported that police tested rail passengers for hidden explosives or knives using new scanners that providing imaging from up to thirty feet away. Cameras are more widely used in other countries to surveil cities according to Comparitech. Their overview shows that London and Atlanta are the only non-Chinese cities on a list of the ten most surveilled cities, but plenty of western cities made the top 20, including Chicago, Sydney, and Berlin.

Benign social media use exists throughout law enforcement. We’ve all read tweets and social media updates about events in our communities as well as efforts to humanize officers. For example, the Gloucester (NJ) Police post images of recovered bicycles on Pinterest. But for every wholesome use of technology, we also see complaints like a 2016 ACLU of California warning about some police departments tracking activists and their movements on social media.

Next week: learn about the wild ways some law enforcement technologists hope to fight future crime.

Read Part One of the series, Facial Recognition’s Growth
Read Part two of the series, Tattletale Apps

4.  Google Updates Core Search Algorithm

This chart shows a website that Sue and I have been optimizing for a long time. We tried some new things recently and were happy to see daily traffic go from around 1,400 to 1,700. That’s a big jump. We were feeling pretty cocky about it until Google rolled out a core search algorithm update on September 24. You can see September 24th on the chart., It’s marked with a 2,700.

So what is a core search update and how do you get one?

  • Google’s search results are in constant flux.
  • More than 3,000 changes are made each year. 
  • Every few months, there is a big adjustment called a Google core search update.
  • Industry searchers can see the impact across many sites.
  • About half of all search marketers say that this update had no effect. 
  • But for individual websites like the one shown here, traffic can grow 50% overnight.

When we tell people that Google essentially sets the parameters for search, we mean that over the long haul most sites that do the right things prosper. Those who don’t (or even those who cheat) may see temporary improvements, but they always end up penalized or worse.

Google advises organizations that good search engine optimization (SEO) is iterative and improves over time. They also tell people that months can elapse before results are seen. That was our experience with this site.  We managed a website relaunch that improved the site’s mobile speed and usability in late May.  We saw early improvements, and by August, we were seeing dramatic improvement even without the huge increase in late September.

And yes, another site can absolutely be prioritized over this one in the future when there is another Google core update. Good search is an ongoing process. Google tells people that, and we assure you of that after working in search for more than ten years.

But the view from the deck is awfully nice when your ship comes in.

5. Debugged: Lottery Winners

Lottery winners also have a ship come in, but “conventional wisdom” said that they felt that they were worse off despite having won the money.

A study for a new economics textbook makes a compelling case that a 1978 academic paper on the subject only had twenty-two respondents.  That is certainly not a lot of people. Another study in 2007 only had 137 responses. That’s also too small a sample.

Read the Vox explainer about lottery winners being happy to win money.

6. Also in the Spotlight

Facebook is testing hiding like counts like we told you they would last week. The test began in Australia on September 27th, according to Techcrunch.

Attractive singles in your area may not be waiting suggested the FTC when it sued Match.com for deceptive advertising, Engadget reports.

Fake domain renewal invoices are commonplace, but Domain News Wire is showing one that uses a real PayPal invoice. Bottom line from us: if we’re not already managing your domain, you should only renew it or pay anything directly at the domain registrar’s site you used.

7. Great Data: See What Members of Congress Really Tweet About

The best looking data project I’ve ever seen for Twitter is also the newest. The Pudding has created awesome visualizations for issues and individual members with lots of easy-to-use options including time.

I lost an hour to this thing and I want more.

8. Protip: Your Clipboard History

One of the fun and useful things that Microsoft added to Windows 10 is the ability to see past clipboard entries.

Lifehacker shows you how to do it on Mac or PC.

9. Bizarre Bazaar (strange stuff for sale online)

Unique holiday gift alert. Emerald Heritage puts a spin on those buy a square foot of a country for fifty bucks offers. They’re using a location that Game of Thrones filmed at, knocked the price down to about $35 and include upgrades like maps and choose your own plot. Want some more space? You and a special friend can buy adjoining 9 square foot plots, fly to Ireland, and practice standing in them.

But it’s a smart use of the GoT affiliation, aggressively priced, and gift worthy

10. Coffee Break: The Typewriter Simulator

For those who learned how to type on a machine with clicks, clacks, and bells, this online simulator mimics carriage returns, correction paper, and prove how much of your speed on modern keyboards will not translate back to typewriters.

Hands on home row…and begin.

Good Monday morning. It’s September 23rd. The United Nations Climate Action Summit begins today. Learn more about the session at the official website.

Today’s Spotlight takes about 6 minutes to read. Want to chat about something you see here? There’s a contact form here.

2. News To Know Now

1. Facebook canceled “tens of thousands of apps” while conducting investigations into how they handle user privacy. Four hundred developers are associated with the apps, but Facebook has not identified them.

2.  Facebook political advertisers must create new disclosure statements by mid-October.  Snapchat announced that it will use similar processes and update its political ad library. Political advertisers in Canada and the U.S. have spent more than one million dollars so far in 2019 on Snapchat.  Open Secrets data has the details.

3. Big Tech finance headlines:

  • Palantir will seek a $26 billion valuation, according to CNBC
  • Salesforce.com has invested another $300 million in WordPress.com developer Automattic-with-the-three-ts. The announcement.
  • Payment processing company Stripe added a $1.2 billion round and is now valued at $35 billion. Details at Crunchbase.

3.  Government Data Mining, Part 2: Tattletale Apps and Your Personal Data

Our government data mining analysis covers four areas over four weeks.

1. Facial recognition’s growth – last week
2. Ancillary personal data from DNA testing and app use – below
3. National and local algorithms to make sense of all the data – next week
4. Extensions into areas like personal health records and trackers.

Scary stories about phone apps, browser extensions, and smart devices abound in our society. We’re no longer surprised when we learn that a tech company is selling ovulation data from apps women use to track their periods or that Foursquare doesn’t care if you use their app to check in to a location since they have “passive” data collection.

Personal data from all of your transactions constantly flows into buckets at data brokerages around the world. WaPo columnist Geoffrey Fowler wrote a blockbuster expose this summer about browser extensions that seem innocuous but “leak information” directly to data brokers. In Fowler’s expose, one of the browser extensions was used to magnify images on a screen, but requested the ability “to read and change your browsing history.” The extension had 800,000 users and was packaging each user’s search history.

At a large family gathering this weekend, I was asked to troubleshoot someone’s PC because it seemed like Google was unresponsive. After only fifteen minutes of tinkering I found that there was a Firefox extension that promised private browsing. Instead, it read search data and routed the request to another network. Luckily, they didn’t return to Google but to Yahoo! search, which was my first clue that something terrible was happening.

Don’t forget that the absence of data is also data. Netflix raised eyebrows last month when The Verge found that Netflix was monitoring a phone’s physical activity sensor. Netflix later said it was a test to see if they could improve video quality while people were watching on the move. But the question remains why a video app gets to track your movements and activity. Fitness trackers, phones, and smart watches all have the ability to understand where you are and what you are doing or not doing.

Even medical data isn’t protected despite health privacy laws. ProPublica found 5 million health records on hundreds of computer servers worldwide. Anyone with a web browser or a few lines of computer code can view patient records, they found, including names in some cases. They didn’t do any hacking or nefarious activities because the records—either for consultation or stored for archives—were publicly accessible on the Internet.

Google, Amazon, and Microsoft are part of a new trade group called the CARIN Alliance that is creating a medical records universal standard for patient records. You’re probably already thinking to yourself, “What could go wrong with those three setting up programs accessing my most personal data?” Good news. The federal government, many state governments, and major health insurance companies are also participating.

The point is that your transactions every day create a growing pool of data about you.  Here in northern Virginia, our state is one of several using “remote sensing” that checks a vehicle’s emissions when it passes through a toll booth. The program is a great way to monitor air quality but also allows local jurisdictions to understand which vehicles don’t meet emissions standards and the locations that they travel through. 

Foursquare would call that a passive check-in.

Next week: the algorithms coordinating all of the data about you.

Read Part One of the series, Facial Recognition’s Growth

4.  Checking in On Amazon

Living off the grid has become harder and now Amazon is finding a way to track cash payments. 

The company announced last week that it would begin accepting cash payments via Western Union and a program called “PayCode”. When a user checks out from Amazon and selects PayCode, they receive a code that they bring to Western Union. Once there, they can settle the account and the product will be shipped. The service starts in October.

Deliveries in 2021 and later will likely be made in some fancy new vehicles after Amazon announced that it would become a signatory to the corporate climate pledge that echoes the Paris climate agreement. Amazon announced that it had placed an order to purchase 100,000 electric-powered trucks over 10 years from a startup named Rivian. Amazon’s $10 billion order follows their $700 million investment last February and Ford’s $500 million in April. 

Amazon also got a big assist from The Wall Street Journal (paywall) this weekend after they surfaced a report that a “grass roots” campaign called “Free and Fair Markets” that attacks Amazon is secretly funded by Walmart, Oracle, and commercial real estate behemoth Simon Property.  Campaigns that purport to be independent “grass roots” campaigns but are secretly funded by an interested party are called “astroturf campaigns” because they’re meant to look like grass (roots).

5. Debugged: Can You Identify Where These Pictures Were Taken?

First Draft News has a four image “Observation Challenge” that allows visitors  to assess where images came from and whether you could correctly identify their locations if you were working in a newsroom. There are lots of on-screen hints and you get four chances at each of four images.

Yes, you can use the Internet. It’s not a knowledge test.

6. Also in the Spotlight

Google sister company Wing upped the stakes in the delivery wars by announcing a drone delivery test in rural southwestern Virginia. FedEx and Walgreens are also involved. (via Transport Topics)

Trivia app Givling claims to pay off student debt, but may not be all that it claims to be, say the folks at Truth in Advertising.

LinkedIn will begin offering online testing for users who want to demonstrate their skills knowledge. Read more at TechCrunch.

7. Great Data: Mapping Political Supporters on Twitter

One of the best network maps we’ve seen recently is Erin Gallagher’s take on “Trump Train” supporters on Twitter. This isn’t political, but a good lesson in how to map followers and understand your influencers. Besides, as Erin points out, there is nothing like this in social media on the left side of the political spectrum.

Read the analysis here.

8. Protip: Backing Up Your iPhone

There are new operating systems for iOS users. You should back up your iPhone BEFORE upgrading.

Here is a step-by-step guide showing how.

9. Bizarre Bazaar (strange stuff for sale online)

Rockabye Baby is a music company that creates woodblock and mellotron-based lullabies from popular music, including classic rock, hip hop, and punk. Their new release is Lullaby Renditions of Selena. AV Club interviewed the team.

100 releases and 600 million streams to date.

10. Coffee Break:  Dark Web Images

A team of researchers has indexed 37,500 images from the Dark Web to test automating security images. You can go to their site, but you have to download all of the images in a tarball archive. If you don’t know what the file extension .tar.gz means, then you don’t need to visit. Luckily for you, I downloaded them all and am including three below.

Here’s the site if you’re that kind of interested.

Images showing credit cards, a gun, and drugs for sale so you don’t have to visit to see.

picture of gun for sale on dark web

picture of drugs for sale on dark web

picture of credit cards for sale on dark web

Good Monday morning. It’s September 16th.  The Global Climate Strike begins Friday. We believe in science. Climate change is real, accelerating, and happening now according to the scientists—no matter what any politician says. Hundreds of climate actions will be led by student activists who are also striking from school. Find a location near you.

Today’s Spotlight takes about 5 minutes to read. Want to chat about something you see here? Press your email reply button or click the silver “Write George” button below.

2. News To Know Now

1. State and federal government regulators are talking to Google competitors in the search engine market as part of their official probe into the company.  As the state attorneys general combine their efforts—50 strong and only missing California and Arkansas—the House investigation into Big Tech continues. You’re not imagining things if this feels similar to government technology probes into AT&T in the 1970s and Microsoft in the 1990s.  Here’s a Reuters explainer article about the Google probes.

2.  Amazon, a long-time target of diverse politicians such as President Trump and Senator Bernie Sanders (I-VT), is also under scrutiny by the Federal Trade Commission. Bloomberg is reporting that a team of attorneys and economists are interviewing third-party merchants about their relationship with Amazon versus other platforms like eBay and Walmart.

3. PayPal has suspended a KKK donations account although it won’t address specifics, the BBC reports. PayPal previously committed to reviewing its relationship with any account managed by an organization promoting racist views.

3.  Government Data Mining Update

What we once called Big Data is now simply data. The unrelenting stream of information is captured by systems of every size. A 2017 IBM study posited that ninety percent of the information on the Internet had been created in the previous two years. 

And that’s online. Imagine the databases created by organizations at work, recreation, and municipal governments. Our government data mining analysis covers four areas over four weeks.

1. Facial recognition’s growth – this week
2. Ancillary data from DNA testing and app use.
3. National and local algorithms to make sense of all the data.
4. Extensions into areas like personal health records and trackers.

Observers could spend every working minute analyzing facial recognition to stay updated with its constant changes. For example, Amazon recently announced a change to its Rekognition software that “improved accuracy for emotion detection (for all 7 emotions: ‘Happy’, ‘Sad’, ‘Angry’, ‘Surprised’, ‘Disgusted’, ‘Calm’ and ‘Confused’) and added a new emotion: ‘Fear’. Lastly, we have improved age range estimation accuracy; you also get narrower age ranges across most age groups.”

Somehow Amazon is still working on age estimation accuracy, but can detect fear.

Facebook also announced new privacy settings for DeepFace, its facial recognition software. That sounds nice, but remember that DeepFace is believed to be the largest facial recognition database in the world thanks to the 250 billion photos that have been voluntarily uploaded to Facebook. The company claims that it beats the FBI’s facial recognition programs with 15% more accuracy.

Google’s Face Match algorithm now makes use of a camera in its Nest Hub smart home display, which is a nice way of saying that Google’s thermostat and light controlling gizmos point an always-on camera at your living space. You can learn more about that in CNet’s excellent “Google collects face data now. Here’s what it means and how to opt out.

The race to get this facial data isn’t only to sell you more stuff although that’s certainly helpful. Live Nation and its Ticketmaster subsidiary has said that it will use facial recognition at live events. Not so fast, say some artists like the aptly named Rage Against The Machine.  

More than half of U.S. adults trust law enforcement agencies to responsibly use facial recognition, according to Pew Research. The approval rating drops to 36% for technology companies and 18% for advertisers. California lawmakers sent a bill last week to Governor Gavin Newsom that would ban state and local police from using facial recognition software on their body cameras.

Next week is Part  2 of Government Data Mining:  Ancillary data from apps

Government Data Mining Update

What we once called Big Data is now simply data. The unrelenting stream of information is captured by systems of every size. A 2017 IBM study posited that ninety percent of the information on the Internet had been created in the previous two years. 

And that’s online. Imagine the databases created by organizations at work, recreation, and municipal governments. Our government data mining analysis covers four areas:

1. Facial recognition’s growth – this week
2. Ancillary data from DNA testing and app use
3. National and local algorithms to make sense of all the data
4. Extensions into areas like personal health records and trackers.

Observers could spend every working minute analyzing facial recognition to stay updated with its constant changes. Amazon recently announced a change to its Rekognition software that had “improved accuracy for emotion detection (for all 7 emotions: ‘Happy’, ‘Sad’, ‘Angry’, ‘Surprised’, ‘Disgusted’, ‘Calm’ and ‘Confused’) and added a new emotion: ‘Fear’. Lastly, we have improved age range estimation accuracy; you also get narrower age ranges across most age groups.”

Somehow Amazon is still working on age estimation accuracy, but can detect fear.

Facebook also announced new privacy settings for DeepFace, its facial recognition software. That sounds nice, but remember that their DeepFace database is believed to be the largest in the world thanks to the 250 billion photos that have been voluntarily uploaded to Facebook. The company claims that it beats the FBI’s facial recognition programs with 15% more accuracy.

Google’s Face Match algorithm makes use of a camera in its Nest Hub smart home display, which is a nice way of saying that Google’s thermostat and light controlling gizmos point an always-on camera at your living space. You can learn more about that in CNet’s excellent “Google collects face data now. Here’s what it means and how to opt out.

The race to get this facial data isn’t only to sell you more stuff although that’s certainly helpful. Live Nation and its Ticketmaster subsidiary has said that it will use facial recognition at live events. Not so fast, say some artists like the aptly named Rage Against The Machine.  

More than half of U.S. adults trust law enforcement agencies to responsibly use facial recognition, according to Pew Research. The approval rating drops to 36% for technology companies and 18% for advertisers. California lawmakers sent a bill last week to Governor Gavin Newsom that would ban state and local police from using facial recognition software on their body cameras.

3.  Government Data Mining Update

What we once called Big Data is now simply data. The unrelenting stream of information is captured by systems of every size. A 2017 IBM study posited that ninety percent of the information on the Internet had been created in the previous two years. 

And that’s online. Imagine the databases created by organizations at work, recreation, and municipal governments. Our government data mining analysis covers four areas over four weeks.

1. Facial recognition’s growth – this week
2. Ancillary data from DNA testing and app use.
3. National and local algorithms to make sense of all the data.
4. Extensions into areas like personal health records and trackers.

Observers could spend every working minute analyzing facial recognition to stay updated with its constant changes. For example, Amazon recently announced a change to its Rekognition software that “improved accuracy for emotion detection (for all 7 emotions: ‘Happy’, ‘Sad’, ‘Angry’, ‘Surprised’, ‘Disgusted’, ‘Calm’ and ‘Confused’) and added a new emotion: ‘Fear’. Lastly, we have improved age range estimation accuracy; you also get narrower age ranges across most age groups.”

Somehow Amazon is still working on age estimation accuracy, but can detect fear.

Facebook also announced new privacy settings for DeepFace, its facial recognition software. That sounds nice, but remember that DeepFace is believed to be the largest facial recognition database in the world thanks to the 250 billion photos that have been voluntarily uploaded to Facebook. The company claims that it beats the FBI’s facial recognition programs with 15% more accuracy.

Google’s Face Match algorithm now makes use of a camera in its Nest Hub smart home display, which is a nice way of saying that Google’s thermostat and light controlling gizmos point an always-on camera at your living space. You can learn more about that in CNet’s excellent “Google collects face data now. Here’s what it means and how to opt out.

The race to get this facial data isn’t only to sell you more stuff although that’s certainly helpful. Live Nation and its Ticketmaster subsidiary has said that it will use facial recognition at live events. Not so fast, say some artists like the aptly named Rage Against The Machine.  

More than half of U.S. adults trust law enforcement agencies to responsibly use facial recognition, according to Pew Research. The approval rating drops to 36% for technology companies and 18% for advertisers. California lawmakers sent a bill last week to Governor Gavin Newsom that would ban state and local police from using facial recognition software on their body cameras.

Next week is Part  2 of Government Data Mining:  Ancillary data from apps

ment agencies to responsibly use facial recognition, according to Pew Research. The approval rating drops to 36% for technology companies and 18% for advertisers. California lawmakers sent a bill last week to Governor Gavin Newsom that would ban state and local police from using facial recognition software on their body cameras.

Next week is Part  2 of Government Data Mining:  Ancillary data from apps

4.  Two Big Search Studies Released

A new survey of nearly 1,600 search marketers confirms evolvingtrends for us to look at. SparkToro founder (and Moz co-founder) Rand Fishkin has done this analysis for years and is adept at creating the research documents and interpreting them.

Fishkin notes that there is consensus for the first time in fourteen years that quality content/relevance means more than either keywords or links. The debate between on-page keywords and off-page links still exists although having both is the ultimate goal. 

Page speed and mobile friendliness are also ready for their closeups. At this point, any site not focused on both of these is missing the point of optimization. Even if more than half of your website’s visitors use a desktop computer to visit your site, the chances are excellent that Google’s mobile ranking algorithms control its visibility. And there is no way to opt in or opt out of mobile-first indexing.

Digital marketers Backlinko also released a study of five million search queries last week. The data confirms or quantifies a lot of existing knowledge. For example, title tags–the line that contains the link—have a 14% higher click-through rate when a question is used as the title. Pages with meta descriptions—the snippet underneath that link—get nearly more 6% clicks. And I’m here to tell you that meta descriptions that Sue or George write get a lot more than that.

Backlinko’s report says that the number one result for a search query (on that device in that location on that day) gets more than 30% of the clicks. It’s important to recognize that this is data from one study, not all visitors click any link, and we’re not sure that the methodology controlled for all variables like geography.

That said, there’s little doubt about the overall findings: there are more clicks on the upper links on page one than the lower links, there are more clicks on page one results than there are on page two, and there are way more on page two results than page three or higher.

Read SparkToro’s Ranking Factor Survey or Backlinko’s Click Through Rate Study.

5. Debugged: Ordering a Pizza from 911

You’ve probably seen an often-shared social media message that advises people to order a pizza if they call 911 and can’t talk in front of someone.  This rumor has made the rounds for years and is not something police dispatchers are trained for. The LAPD says that “Operators are trained to recognize voice inflection, odd conversations that would indicate a dangerous situation, among other things.”

PolitiFact has the meme debugged here.

6. Also in the Spotlight

Amazon’s Alexa assistant will be the “beneficiary” of crowdsourced questions and answers from the public in a move that must terrify its brand safety monitors, according to Tech Times.

Alphabet, owner of a snappy video site called YouTube, has released data that says 55% of consumers use online video for shopping research, according to Search Engine Journal.

Alphabet’s Google unit, meanwhile, would like you to know that it’s ready for the fall viewing season with new carousels that describe movies and TV shows, including where to stream them. You can read their announcement here for a reminder that you can pay to have its snappy video site named YouTube to stream movies and TV shows for you.

7. Food for Thought:  Employee Monitoring

Your organization has oodles of data that you can analyze beyond the typical Human Resources information like background checks, attendance and ratings. These range from employee emails, phone calls, and other communications, Internet browsing history, to facial recognition to social media information on quasi-professional sites like LinkedIn or industry-specific sites and apps.

How do you balance information overload that allows you to get a fair look at employees and what processes are in place to protect the organization when non-disclosed monitoring programs identify troubling information?

8. Protip: Google Photos Finds Text

One amazingly useful product of technology’s pursuit of facial recognition technology is the news that Google Photos can now search for text that appears in one of your images. Signs, printing on clothing, or documents you’ve taken a picture of maybe at a lecture or presentation can now be searched as text.

The new search combines with the photo’s facial recognition, timestamp, and geo data too.

9. Great Data: Baby’s First Year…of Sleep

Seung Lee collected data from the times his son slept during his first year. Then Lee knitted a blanket of the visualized data because of course he did.

See the one-of-a-kind baby blanket.

10. Coffee Break:  Wisteria by The Met

During today’s coffee break, let The Met bring you on a photo tour of colorful wisteria trees.

Pretty and shiny trees here.