Here's a pocket history of the web, according to many people. In the early days, the web was just pages of information linked to each other. Then along came web crawlers that helped you find what you wanted among all that information. Some time around 2003 or maybe 2004, the social web really kicked into gear, and thereafter the web's users began to connect with each other more and more often. Hence Web 2.0, Wikipedia, MySpace, Facebook, Twitter, etc. I'm not strawmanning here. This is the dominant history of the web as seen, for example, in this Wikipedia entry on the 'Social Web.'
1. The sharing you see on sites like Facebook and Twitter is the tip of the 'social' iceberg. We are impressed by its scale because it's easy to measure.
2. But most sharing is done via dark social means like email and IM that are difficult to measure.
3. According to new data on many media sites, 69% of social referrals came from dark social. 20% came from Facebook.
4. Facebook and Twitter do shift the paradigm from private sharing to public publishing. They structure, archive, and monetize your publications.
But it's never felt quite right to me. For one, I spent most of the 90s as a teenager in rural Washington and my web was highly, highly social. We had instant messenger and chat rooms and ICQ and USENET forums and email. My whole Internet life involved sharing links with local and Internet friends. How was I supposed to believe that somehow Friendster and Facebook created a social web out of what was previously a lonely journey in cyberspace when I knew that this has not been my experience? True, my web social life used tools that ran parallel to, not on, the web, but it existed nonetheless.
To be honest, this was a very difficult thing to measure. One dirty secret of web analytics is that the information we get is limited. If you want to see how someone came to your site, it's usually pretty easy. When you follow a link from Facebook to The Atlantic, a little piece of metadata hitches a ride that tells our servers, "Yo, I'm here from Facebook.com." We can then aggregate those numbers and say, "Whoa, a million people came here from Facebook last month," or whatever.
There are circumstances, however, when there is no referrer data. You show up at our doorstep and we have no idea how you got here. The main situations in which this happens are email programs, instant messages, some mobile applications*, and whenever someone is moving from a secure site ("https://mail.google.com/blahblahblah") to a non-secure site (http://www.theatlantic.com).
This means that this vast trove of social traffic is essentially invisible to most analytics programs. I call it DARK SOCIAL. It shows up variously in programs as "direct" or "typed/bookmarked" traffic, which implies to many site owners that you actually have a bookmark or typed in www.theatlantic.com into your browser. But that's not actually what's happening a lot of the time. Most of the time, someone Gchatted someone a link, or it came in on a big email distribution list, or your dad sent it to you.
Nonetheless, the idea that "social networks" and "social media" sites created a social web is pervasive. Everyone behaves as if the traffic your stories receive from the social networks (Facebook, Reddit, Twitter, StumbleUpon) is the same as all of your social traffic. I began to wonder if I was wrong. Or at least that what I had experienced was a niche phenomenon and most people's web time was not filled with Gchatted and emailed links. I began to think that perhaps Facebook and Twitter has dramatically expanded the volume of -- at the very least -- linksharing that takes place.
Everyone else had data to back them up. I had my experience as a teenage nerd in the 1990s. I was not about to shake social media marketing firms with my tales of ICQ friends and the analogy of dark social to dark energy. ("You can't see it, dude, but it's what keeps the universe expanding. No dark social, no Internet universe, man! Just a big crunch.")
And then one day, we had a meeting with the real-time web analytics firm, Chartbeat. Like many media nerds, I love Chartbeat. It lets you know exactly what's happening with your stories, most especially where your readers are coming from. Recently, they made an accounting change that they showed to us. They took visitors who showed up without referrer data and split them into two categories. The first was people who were going to a homepage (theatlantic.com) or a subject landing page (theatlantic.com/politics). The second were people going to any other page, that is to say, all of our articles. These people, they figured, were following some sort of link because no one actually types "http://www.theatlantic.com/technology/archive/2012/10/atlast-the-gargantuan-telescope-designed-to-find-life-on-other-planets/263409/." They started counting these people as what they call direct social.
The second I saw this measure, my heart actually leapt (yes, I am that much of a data nerd). This was it! They'd found a way to quantify dark social, even if they'd given it a lamer name!
On the first day I saw it, this is how big of an impact dark social was having on The Atlantic.
Just look at that graph. On the one hand, you have all the social networks that you know. They're about 43.5 percent of our social traffic. On the other, you have this previously unmeasured darknet that's delivering 56.5 percent of people to individual stories. This is not a niche phenomenon! It's more than 2.5x Facebook's impact on the site.
Day after day, this continues to be true, though the individual numbers vary a lot, say, during a Reddit spike or if one of our stories gets sent out on a very big email list or what have you. Day after day, though, dark social is nearly always our top referral source.
Perhaps, though, it was only The Atlantic for whatever reason. We do really well in the social world, so maybe we were outliers. So, I went back to Chartbeat and asked them to run aggregate numbers across their media sites.
Get this. Dark social is even more important across this broader set of sites. Almost 69 percent of social referrals were dark! Facebook came in second at 20 percent. Twitter was down at 6 percent.
All in all, direct/dark social was 17.5 percent of total referrals; only search at 21.5 percent drove more visitors to this basket of sites. (FWIW, at The Atlantic, social referrers far outstrip search. I'd guess the same is true at all the more magaziney sites.)
There are a couple of really interesting ramifications of this data. First, on the operational side, if you think optimizing your Facebook page and Tweets is "optimizing for social," you're only halfway (or maybe 30 percent) correct. The only real way to optimize for social spread is in the nature of the content itself. There's no way to game email or people's instant messages. There's no power users you can contact. There's no algorithms to understand. This is pure social, uncut.
Second, the social sites that arrived in the 2000s did not create the social web, but they did structure it. This is really, really significant. In large part, they made sharing on the Internet an act of publishing (!), with all the attendant changes that come with that switch. Publishing social interactions makes them more visible, searchable, and adds a lot of metadata to your simple link or photo post. There are some great things about this, but social networks also give a novel, permanent identity to your online persona. Your taste can be monetized, by you or (much more likely) the service itself.
Third, I think there are some philosophical changes that we should consider in light of this new data. While it's true that sharing came to the web's technical infrastructure in the 2000s, the behaviors that we're now all familiar with on the large social networks was present long before they existed, and persists despite Facebook's eight years on the web. The history of the web, as we generally conceive it, needs to consider technologies that were outside the technical envelope of "webness." People layered communication technologies easily and built functioning social networks with most of the capabilities of the web 2.0 sites in semi-private and without the structure of the current sites.
If what I'm saying is true, then the tradeoffs we make on social networks is not the one that we're told we're making. We're not giving our personal data in exchange for the ability to share links with friends. Massive numbers of people -- a larger set than exists on any social network -- already do that outside the social networks. Rather, we're exchanging our personal data in exchange for the ability to publish and archive a record of our sharing. That may be a transaction you want to make, but it might not be the one you've been told you made.
* Chartbeat datawiz Josh Schwartz said it was unlikely that the mobile referral data was throwing off our numbers here. "Only about four percent of total traffic is on mobile at all, so, at least as a percentage of total referrals, app referrals must be a tiny percentage," Schwartz wrote to me in an email. "To put some more context there, only 0.3 percent of total traffic has the Facebook mobile site as a referrer and less than 0.1 percent has the Facebook mobile app."
When President Obama left, I stayed on at the National Security Council in order to serve my country. I lasted eight days.
In 2011, I was hired, straight out of college, to work at the White House and eventually the National Security Council. My job there was to promote and protect the best of what my country stands for. I am a hijab-wearing Muslim woman––I was the only hijabi in the West Wing––and the Obama administration always made me feel welcome and included.
Like most of my fellow American Muslims, I spent much of 2016 watching with consternation as Donald Trump vilified our community. Despite this––or because of it––I thought I should try to stay on the NSC staff during the Trump Administration, in order to give the new president and his aides a more nuanced view of Islam, and of America's Muslim citizens.
You can tell a lot about a person from how they react to something.
That’s why Facebook’s various “Like” buttons are so powerful. Clicking a reaction icon isn’t just a way to register an emotional response, it’s also a way for Facebook to refine its sense of who you are. So when you “Love” a photo of a friend’s baby, and click “Angry” on an article about the New England Patriots winning the Super Bowl, you’re training Facebook to see you a certain way: You are a person who seems to love babies and hate Tom Brady.
The more you click, the more sophisticated Facebook’s idea of who you are becomes. (Remember: Although the reaction choices seem limited now—Like, Love, Haha, Wow, Sad, or Angry—up until around this time last year, there was only a “Like” button.)
Long after research contradicts common medical practices, patients continue to demand them and physicians continue to deliver. The result is an epidemic of unnecessary and unhelpful treatments.
First, listen to the story with the happy ending: At 61, the executive was in excellent health. His blood pressure was a bit high, but everything else looked good, and he exercised regularly. Then he had a scare. He went for a brisk post-lunch walk on a cool winter day, and his chest began to hurt. Back inside his office, he sat down, and the pain disappeared as quickly as it had come.
That night, he thought more about it: middle-aged man, high blood pressure, stressful job, chest discomfort. The next day, he went to a local emergency department. Doctors determined that the man had not suffered a heart attack and that the electrical activity of his heart was completely normal. All signs suggested that the executive had stable angina—chest pain that occurs when the heart muscle is getting less blood-borne oxygen than it needs, often because an artery is partially blocked.
Meet the protesters who tricked conference attendees into waving Russian flags.
Two men made trouble—and stirred up a social-media frenzy—on the third day of the Conservative Political Action Conference by conducting a literal false-flag operation.
Jason Charter, 22, and Ryan Clayton, 36, passed out roughly 1,000 red, white, and blue flags, each bearing a gold-emblazoned “TRUMP” in the center, to an auditorium full of attendees waiting for President Trump to address the conference. Audience members waved the pennants—and took pictures with them—until CPAC staffers realized the trick: They were Russian flags.
The stunt made waves on social media, as journalists covering CPAC noticed the scramble to confiscate the insignia.
Since the middle of last year, a group of Filipino reporters, photographers, and cameramen have been at the frontline of Philippine President Rodrigo Duterte’s war on drugs. They are a different type of war correspondent, and the drug war, a different type of war.
The correspondents work what they call the “night shift,” the unholy hours between 10 p.m. and 5 a.m., when the dead bodies are found. They wait at Manila’s main police station and rush from there to the site of the most recent kill. They keep count of the corpses, talk to witnesses and families, interview the police, attend wakes and funerals. A lot of what the world learned about the carnage, especially in the early months, is due largely to the night shift reporters.
Ambitious young Republicans at CPAC are torn over embracing the new nationalism of the president.
OXON HILL, Maryland — If you want to take the temperature of the conservative movement at CPAC, you need to know where to stick the thermometer. It’s not in the onstage speeches, or the myriad policy panels, or the boozy after-parties—it’s inside Exhibit Hall D on the ground floor of the Gaylord National Resort and Convention Center.
Here, in what conference organizers have dubbed “The Hub,” hundreds of blue-blazered and high-heeled young conservatives roam the cavernous hall—crammed with booths set up by right-wing think tanks, media outfits, pressure groups, and publishers—shopping for future careers. The general vibe is that of a trade show, with attendees perusing pamphlets about D.C. internships, swapping Twitter follows, and taking selfies with minor cable news celebrities. They buy t-shirts with cheeky messages on them (“God is great, beer is good & liberals are crazy”), and the lucky ones make off with a satchel full of swag (the Sheriff David Clarke bobblehead was a particularly hot item this year).
The preconditions are present in the U.S. today. Here’s the playbook Donald Trump could use to set the country down a path toward illiberalism.
It’s 2021, and President Donald Trump will shortly be sworn in for his second term. The 45th president has visibly aged over the past four years. He rests heavily on his daughter Ivanka’s arm during his infrequent public appearances.
Fortunately for him, he did not need to campaign hard for reelection. His has been a popular presidency: Big tax cuts, big spending, and big deficits have worked their familiar expansive magic. Wages have grown strongly in the Trump years, especially for men without a college degree, even if rising inflation is beginning to bite into the gains. The president’s supporters credit his restrictive immigration policies and his TrumpWorks infrastructure program.
Listen to the audio version of this article:Download the Audm app for your iPhone to listen to more titles.
“No… it’s a magic potty,” my daughter used to lament, age 3 or so, before refusing to use a public restroom stall with an automatic-flush toilet. As a small person, she was accustomed to the infrared sensor detecting erratic motion at the top of her head and violently flushing beneath her. Better, in her mind, just to delay relief than to subject herself to the magic potty’s dark dealings.
It’s hardly just a problem for small people. What adult hasn’t suffered the pneumatic public toilet’s whirlwind underneath them? Or again when attempting to exit the stall? So many ordinary objects and experiences have become technologized—made dependent on computers, sensors, and other apparatuses meant to improve them—that they have also ceased to work in their usual manner. It’s common to think of such defects as matters of bad design. That’s true, in part. But technology is also more precarious than it once was. Unstable, and unpredictable. At least from the perspective of human users. From the vantage point of technology, if it can be said to have a vantage point, it's evolving separately from human use.
Priming kids to expect rewards for good behavior can harm their social skills in the long term.
After working with thousands of families over my years as a family psychologist, I’ve found that one of the most common predicaments parents face is how to get kids to do what they’re asked. And one of the most common questions parents ask is about tools they can use to help them achieve this goal.
One such tool is the sticker chart, a type of behavior-modification system in which children receive stickers in exchange for desired behaviors like brushing their teeth, cleaning their room, or doing their homework. Kids can later “spend” their accrued stickers on prizes, outings, and treats.
Though data on how widely sticker charts are used (and when and why they became so popular) is difficult to find, anecdotal evidence suggests that these charts have become fairly commonplace in American parenting. Google searches for “sticker chart,” “chore chart,” and “reward chart” collectively return more than 1 million results. Amazon has more than 1,300 combined product results for the same searches. Reddit, too, is teeming with forums for parents asking each other about the merits of the charts and discussing specific strategies.
Students can learn the basics with a set of knitting needles.
The Finns are pretty bemused by Americans’ preoccupation with whether to put iPads in every classroom. If a tablet would enhance learning, great. If it wouldn’t, skip it. Move on. The whole thing is a little tilting-at-windmills, anyway.
That was the gist of the conversation one recent morning at the Finnish Embassy in Washington, D.C., where diplomats and experts gathered to celebrate the country’s education accomplishments as Finland turns 100. And Americans could stand to take notes. (Yes, from Finland—again.)
Coding and programming are now part of the curriculum in the Scandinavian country, and they’re subjects kids tackle from a young age. But unlike in some parts of the United States where learning to code is an isolated skill, Finnish children are taught to think of coding and programming more as tools to be explored and utilized across multiple subjects.