Category Archives: Social Media

Justine Sacco, Twitter and the End of Irony

Justine Sacco is in the news again. Not that she wants to. She’d like nothing more than to fade from the spotlight. As she recently said in an interview, “Someday you’ll Google me and my LinkedIn will be the first thing that pops up.” But today, over 15 months after she launched the tweet that just won’t go away, she’s still the poster child for career ruination via social media. The recent revival of Justine’s story comes ahead of the release of a new book by Jon Ronson, “So You’ve Been Publicly Shamed.”

Justine SaccoIf you’ve never heard of Justine Sacco, I’ll recap quickly. Just before boarding an 11-hour flight to South Africa, in what can only be called a monumental melt down of discretion, she tweeted this, “Going to Africa. Hope I don’t get AIDS. Just kidding. I’m white!” This touched off a social media feeding frenzy looking for Sacco’s blood. The world waited for her to land (#HasJustineLandedYet? became the top trender) and meet her righteous retribution.

Oh, did I mention that Justine was IAC’s Corporate Head of Communications? Yeah, I know. WTF – right?

But the point here is not whether or not Justine Sacco was wrong. I think even she’ll admit that it was a momentarily brain-dead blurb of 64-character stupidity. The point here is whether or not Sacco was a racist, cold-hearted bitch. And to that, the answer is no.  Justine meant the comment to be ironic – a satirical poke at white privilege and comfort. She never intended for it to be taken seriously. And that was where the wheels came off.

A_Modest_Proposal_1729_CoverSatire has been around for a long time. The Greeks and Romans invented it, but it was the British that perfected it. The satirical essay became an art form in the hands of Alexander Pope, John Gay and the greatest of the satirists, Jonathon Swift. Through them, irony became honed to a razor sharp scythe for social change.  Swift’s A Modest Proposal is perhaps the greatest satirical piece ever written. In it, he proposed a solution for the starving beggars of Ireland – they should sell their children, of which there was an abundant supply, to the upper classes as a food source.

Now, did the pamphlet reading public of 1729 England call for Swift’s head? Did they think he was serious when he wrote:

“A young healthy child well nursed, is, at a year old, a most delicious nourishing and wholesome food, whether stewed, roasted, baked, or boiled; and I make no doubt that it will equally serve in a fricassee, or a ragout.”

Well, perhaps a few missed the irony, but for the vast majority of Swift’s audience, the pamphlet helped make his reputation, rather than ruin it. There was no “HasSwiftreturnedfromLilliputYet?” trend on Twitter. People got it.

There is no way Sacco’s work should be compared to Swift’s in terms of literary merit, but there are some other fundamental differences we should pay attention too.

First of all, Swift was known as a satirist. Satire was an established literary form in the Age of Enlightenment. The context was in place for the audience. They were able to manage the flip of perspective required to understand the irony. But before December 20, 2013, we had never heard of Justine Sacco. The tweet was stripped of any context. There was nothing to tell us that she wasn’t being serious. Twitter fragments our view of the world into tiny missives that float unconnected and unsupported.  Twitter, by its very nature, forces us to take its messages out of context. This is not the place to hope for a nuanced understanding.

Also, Sacco’s entire tweet totaled 64 characters. Swift’s essay comes in at 3405 words, or 19,373 characters. That’s about 300 times the literary volume of Sacco’s tweet. Swift had ample opportunity to expound on his irony and make sure readers got his point.  Even Swift’s title, at a hefty 169 characters, couldn’t have squeezed into the limits of a tweet.  Tweets beg to be taken at face value, because there’s no room to aim for anything other than that.

And that brings us to the biggest difference here – the death of thoughtfulness. You can’t get irony or satire unless you’re thoughtful. You have to spend some time thinking about what you’ve read. To use Daniel Kahneman’s terminology, you have to use System 2, which specializes in slow thinking. Sacco’s tweet takes about 2 seconds to read, from beginning to end. There is no time for thought there. But there is time for visceral reaction. That’s all System 1, and System 1 doesn’t understand irony.

At the average reading speed of 300 words a minute, you’d have to invest 11.3 minutes to get through Swift’s essay. That’s plenty of time for System 2 to digest what it’s read and to look for meaning beyond face value. You have to read it in a thoughtful manner.  But it’s not only in our reading where we don’t have to be thoughtful. We can also abandon thoughtfulness in our response. We can retweet in a matter of seconds and add our own invectives. This starts a chain reaction of indignation that starts a social media brush fire. Careful consideration is not part of the equation.

Sacco’s sin wasn’t that she was being racist. Her sin was trying to be ironic in a medium that couldn’t support it. By her own admission, she had been experimenting with Twitter to see if edgy tweets got retweeted more often. The answer, as it turned out, was yes, but the experiment damned near killed her. As a communication expert, she should have known better. Justine Sacco painfully discovered that in the split second sound-bite world of social media, thoughtful reading is extinct.  And with it, irony and satire have died as well.

Mourning Becomes Electric

dreamstime_19503560Last Friday was a sad day. A very dear and lifelong friend of mine, my Uncle Al, passed away. And so I did what I’ve done before on these occasions. I expressed my feelings by writing about it. The post went live on my blog around 10:30 in the morning. By mid afternoon, it had been shared and posted through Facebook, Twitter and many other online channels. Many were kind enough to send comments. The family, in the midst of their grief, forwarded my post to their family and friends. Soon, there was an extended network of mourning that sought to heal each other, all through channels that didn’t exist just a few years ago. Mourning had moved online.

As you probably know, I’m fascinated by how we express our innate human needs through digital technologies. And death, together with birth, is the most universal of human experiences. It was inevitable that we would use online channels to grieve. So I, as I always do, asked the question – why?

First of all – why do we mourn? Well, we mourn because we are social animals. We are probably the most social of animals. So we grieve to an according degree. We miss the departed terribly. It is natural to try to fill the hole a death tears inside of us by reaching out to others who may share the same grief. James R. Averill believed we communally mourn because it cements the social bonds that make it more likely that we will survive as a species. When it comes to dealing with death, misery loves company.

Secondly, why do we grieve online? Well, here, I think it has something to do with Granovetter’s weak ties. Death is one of those life events where we reach beyond the strong ties that define our day-to-day social existence. Certainly we seek comfort from those closest to us, but the death also triggers the existence of a virtual community – defined and united by their grieving for the one who has passed away. Our digital networks allow us to eliminate the six degrees of separation in one fell swoop. We can share our grief almost instantaneously and simultaneously with family, friends, acquaintances and even people we have never met.

There are two other aspects of grief that I believe lend themselves well to online channels: the need to chronicle and the comfort of emotional distance.

Part of the healing process is sharing memories of the departed love one. And, for those like myself, just writing about our feelings helps overcome the pain. Online provides a perfect platform for chronicling. We can share our own thoughts and, in the expressing of them, start the healing process.

The comfort of physical distance seems a contradictory idea, but almost everyone I know who has gone through a deep loss has one common dread – dealing with a never-ending stream of condolences over the coming weeks and months, triggered by each new physical encounter.

When you’ve been in the middle of the storm, you are typically a few days ahead of everyone else in dealing with your grief. Your mind has been occupied with nothing else as you have sat vigil by the hospital bed. While the condolences are given with the best of intentions, you feel compelled to give a response. The problem is, each new expression of grief forces you to replay your loop of very painful memories. The amplitude of this pain increases when it’s a face-to-face encounter. Condolences that reach you through a more detached channel, such as online, can be dealt with at your discretion. You can wait until you marshall the emotional reserves necessary to respond. You can also respond to several people at a time. How many times have you heard this from a grieving loved one, “I just wish I could record my message and play it whenever I meet someone who wants to tell me how sorry they are for my loss?” It may seem callous, but no one wants to relive that pain over and over again. And let’s face it – almost no one knows the right things to say at a moment like this.

By the end of last Friday, my online social connections had helped me ease a very deep pain. I hope I was able to return the favor for others that were dealing with their own grief. There are many things about technology that I treat with suspicion, but in this case, turning online seemed like the most natural thing in the world.

Facebook at Work – Stroke of Genius or Act of Desperation?

facebookworkSo, with the launching of Facebook at Work, Facebook wants to become your professional networking platform of choice, does it? Well, speaking as a sample of one, I don’t think so. And it all comes down to one key reason that I’ve talked about in the past, but for some reason, Facebook doesn’t seem to get – social modality.

Social modality is not a tough concept to understand. I’m one person in my office, another on the couch. The things that interest me in the office have little overlap with the things that interest me when I’m “sofa-tose” (nodding into a state of minimal consciousness on overstuffed furniture). But it’s not just about interests. It’s about context. I think differently. I act differently. I react differently. And I want to keep those two states as separate as possible.

Facebook seems to understand the need for separation. They’re building out Facebook at Work as a separate entity. But it’s still Facebook, and when I’ve got my business persona on, I don’t even think of Facebook. Neither, apparently, does anyone else. In 2010, BranchOut tried to build a professional network layer on top of Facebook. Last summer, it changed its business model. The reason? A lack of users. When you think of work, you just don’t think of Facebook. If fact, there’s almost an instinctual revulsion to the idea. Mixing Facebook and work is a cultural taboo.

When we look at the technologies we use to mediate our social activities, different rules apply. It’s not just about features or functionality – it’s about what instinctively feels right. Facebook is trying to create a monolithic platform for social connecting and that doesn’t seem to be where we’re heading. Rather than consolidating our social activity, it’s splintering over different tools and platforms. One reason is functionality. The other is that socially; we’re much too complex to fit into any one particular technological mold. I wrote a few months ago about the maturity continuum of social media. The final stage was to become a platform, which is exactly what Facebook is trying to do. But perhaps becoming a social media platform – at least in the sense that Facebook is attempting – isn’t possible. It could be that our social media personalities are too fractured to fit comfortably in any single destination.

Facebook’s revenue model depends on advertising, which depends on eyeballs. It’s a real estate play. Maybe to be successful, social has to be less about location and more about functionality. In other words, to become a social media platform, you have to be a utility, not a destination. Facebook seems to be trying to do both. According to an article in the Financial Times (registration required) Facebook at work will offer functionality through chat, contact management and document collaboration, but it will do so on a site that “looks very much like Facebook,” including, one assumes, ads served from Facebook. By trying to attract eyeballs to drive revenue, Facebook won’t be able to avoid mixing modality, and therein lays the problem. I suspect Facebook at Work will join an ever-increasing string of Facebook failures.

LinkedIn isn’t perfect, but it has definitely established itself as the B-to-B platform of choice. It fits our sensibilities of what a professional social networking tool should be. And it doesn’t suffer from Facebook’s overly ambitious hubris. It hasn’t launched “LinkedIn at Home” – trying to become the social network platform for our non-work life. It knows what it is. We know what it is. Our social modality isn’t conflicted. Facebook is another matter. It wants to be all things social to all people. I suppose from a revenue point you can’t blame them, but there’s a reason I don’t invite my co-workers to my family reunion – or vice versa.

Someday Facebook will learn that lesson. I suspect it will probably be the hard way.

#AlexfromTarget – An Unexpected Consequence of Technology

1414997478566_wps_10_Original_Tweet_of_Alex_frYes, I’m belatedly jumping on the #AlexfromTarget bandwagon, but it’s in service of a greater truth that I’m trying to illustrate. Last column, I spoke about the Unintended Consequences of Technology. I think this qualifies. And furthermore, this brings us full circle to Kaila Colbin’s original point, which started this whole prolonged discussion.

It is up to us to decide what is important, to create meaning and purpose. And, personally, I think we could do a better job than we’re doing now.

So, why did the entire world go ga-ga over a grocery bagger from Texas? What could possibly be important about this?

Well – nothing – and that’s the point. Thinking about important things is hard work. Damned hard work – if it’s really important. Important things are complex. They make our brains hurt. It’s difficult to pin them down long enough to plant some hooks of understanding in them. They’re like eating broccoli, or doing push ups. They may be good for us, but that doesn’t make them any more fun.

Remember the Yir Yoront from my last column – the tribal society that was thrown into a tail spin by the introduction of steel axes? The intended consequence of that introduction was to make the Yir Yoront more productive. The axes did make the tribe more productive, in that they were able to do the essential tasks more quickly, but the result was that the Yir Yoront spent more time sleeping.

Here’s the thing about technology. It allows us to be more human – and by that I mean the mixed bag of good and bad that defines humanity. It extends our natural instincts. It’s natural to sleep if you don’t have to worry about survival. And it’s also natural for young girls to gossip about adorable young boys. These are hard-wired traits. Deep philosophical thought is not a hard-wired trait. Humans can do it, but it takes conscious effort

Here’s where the normal distribution curve comes in. Any genetically determined trait will have a normal distribution over the population. How we apply new technologies will be no different. The vast majority of the population will cluster around the mean. But here’s the other thing – that “mean” is a moving target. As our brains “re-wire” and adapt to new technologies, the mean that defines typical behavior will move over time. We adapt strategies to incorporate our new technology-aided abilities. This creates a new societal standard and it is also human to follow the unwritten rules of society. This creates a cause and effect cycle. Technologies enable new behaviors that are built on top of the foundations of human instinct – society determines whether these new behaviors are acceptable – and if they are acceptable, they become the new “mean” of our behavioral bell curve. We bounce new behaviors off the backboard of society. So, much as we may scoff at the fan-girls that gave “Alex” insta-fame – ultimately it’s not the girl’s fault, or technology’s. The blame lies with us. It also lies with Ellen DeGeneres, the New York Times, and the other barometers of societal acceptance that offered endorsement of the phenomenon.

It’s human to be distracted by the titillating and trivial. It’s also human to gossip about it. There’s nothing new here. It’s just that these behaviors used to remain trapped within the limited confines of our own social networks. Now, however, they’re amplified through technology. It’s difficult to determine what the long-term consequences of this might be. Is Nicholas Carr right? Is technology leading us down the garden path to imbecility, forever distracted by bright, shiny objects? Or is our finest moment yet to come?

The Human Stories that Lie Within Big Data

storytelling-boardIf I wanted to impress upon you the fact that texting and driving is dangerous, I could tell you this:

In 2011, at least 23% of auto collisions involved cell phones. That’s 1.3 million crashes, in which 3331 people were killed. Texting while driving makes it 23 times more likely that you’ll be in a car accident.

Or, I could tell you this:

In 2009, Ashley Zumbrunnen wanted to send her husband a message telling him “I love you, have a good day.” She was driving to work and as she was texting the message, she veered across the centerline into oncoming traffic. She overcorrected and lost control of her vehicle. The car flipped and Ashley broke her neck. She is now completely paralyzed.

After the accident, Zumbrunnen couldn’t sit up, dress herself or bath. She was completely helpless. Now a divorced single mom, she struggles to look after her young daughter, who recently said to her “I like to go play with your friends, because they have legs and can do things.”

The first example gave you a lot more information. But the second example probably had more impact. That’s because it’s a story.

We humans are built to respond to stories. Our brains can better grasp messages that are in a narrative arc. We do much less well with numbers. Numbers are an abstraction and so our brains struggle with numbers, especially big numbers.

One company, Monitor360, is bringing the power of narratives to the world of big data. I chatted with CEO Doug Randall recently about Monitor360’s use of narratives to make sense of Big Data.

“We all have filters through which we see the world. And those filters are formed by our experiences, by our values, by our viewpoints. Those are really narratives. Those are really stories that we tell ourselves.”

For example, I suspect the things that resonated with you with Ashley’s story were the reason for the text – telling her husband she loved him – the irony that the marriage eventually failed after her accident and the pain she undoubtedly felt when her daughter said she likes playing with other moms who can still walk. All of those things, while they don’t really add anything to our knowledge about the incidence rate of texting and driving accidents, are all things that strike us at a deeply emotional level because we can picture ourselves in Ashley’s situation. We empathize with her. And that’s what a story is, a vehicle to help us understand the experiences of another.

Monitor360 uses narratives to tap into these empathetic hooks that lie in the mountain of information being generating by things like social media. It goes beyond abstract data to try to identify our beliefs and values. And then it uses narratives to help us make sense of our market. Monitor360 does this with a unique combination of humans and machines.

“A computer can collect huge amounts of data and the compute can even sort that data. But “sense making” is still very, very difficult for computers to do. So human beings go through that information, synthesize that information and pull out what the underlying narrative is.”

Monitor360 detects common stories in the noisy buzz of Big Data. In the stories we tell, we indicate what we care about.

“This is what’s so wonderful about Big Data. The Data actually tells us, by volume, what’s interesting. We’re taking what are the most often talked about subjects…the data is actually telling us what those subjects are. We then go in and determine what the underlying belief system in that is.”

Monitor360’s realization that it’s the narratives that we care about is an interesting approach to Big Data. It’s also encouraging to know that they’re not trying to eliminate human judgment from the equation. Empathy is still something we can trump computers at.

At least for now.

Social Media: Matching Maturity to the Right Business Model

socialmediaLast week, I talked about the maturity continuum of social media. This week, I’d like to recap and look at the business model implications of each phase

Phase One – It’s a Fad. Here, we use a new social media tool simply because it is new. This is a classic early adopter model. The business goal here is to drive adoption as fast and far as possible, hoping that acceptance will go viral. There is no revenue opportunity at this point, as you don’t want to do anything to slow adoption. It’s all about getting it into as many hands as possible.

Phase Two – It’s a statement. You use the tool because it says something about who you are. Revenue opportunities are still limited, but this is the time for cross-promotion with brands that make a similar statement. Messaging and branding become essential at this point. You have to carve a unique niche for yourself and hope that it resonates with segments of your market. The goal is to create an emotional connection with your audience to help shore up loyalty in the next phase. This is the time to start laying the foundations of an user community.

Phase Three – It’s a tool. You use it because it offers the best functionality for a particular task. Here, things have to get more practical. This is where user testing and new feature development has to move as quickly as possible. Revenue opportunities at this point are possible, depending on the usage profile of your app. If there’s high frequency of usage, advertising sponsorship is a possibility. But be aware that this will bring inevitable push back from your users, especially if there has been no advertising up to this point. This shakes the loyalty of the “Statement” users, as they feel you’re selling out. The functionality will have to be rock solid to prevent attrition of your user base during this phase. Essentially, it will have to be good enough to “lock out” the competition. But there’s another goal here as well. Introducing new functionality allows you to move beyond being a one-trick pony. This is where you have to start moving from being a tool to the next phase…

Phase Four – It’s a Platform. If you’ve successfully transitioned to being a social media platform, you should have the opportunity to finally turn a profit. The stability of the revenue model will be wholly dependent on how high you’ve been able to raise the cost of switching. The more “sticky” your platform is, the more stable your revenue will be. But, be aware that using advertising as your revenue channel is fraught with issues in the world of social media. Unlike search, where we are used to dealing with a crystal clear indication of consumer interest, social media usage seldom comes tied to clear buyer intent. You have to worry about modality and social norms, along with the erosion of your “cool” factor.

In the last two phases, the best revenue opportunities should be directly tied to functionality and intent. The closer you can align your advertising message to the intent of the users “in the moment” the more stable your revenue model will be. In fact, if you can introduce tools that are focused on users when they are in social modes where commercial messaging is appropriate, you will find revenue opportunities dropping into your lap. For example, if users use LinkedIn to crowdsource opinions on B2B purchases, you have a natural monetization opportunity. If they’re using your app to post pictures of their cat playing a xylophone, you’re going to find it much harder to make a buck. Not impossible, but pretty damned difficult.

The Maturity Continuum of Social Media

facebook-twitter-635Social channels will come and go. Why are we still surprised by this? Just last week, Catharine Taylor talked about the ennui that’s threatening to silence Twitter. Frankly, the only thing surprising about this is that Twitter has had as long a run as they have. Let’s face it. If every there was a social media one trick pony, it’s Twitter.

The fact is, if you are a player in the social media space, you have to accept that there’s a unique maturity evolution in usage patterns. It’s a much more fickle audience than you would find in something like content publishing or search. The channels we use to express ourselves socially are subject to an extraordinary amount of irrational behavior. We project our own beliefs about who we are and how we fit into our own social networks on them. This leaves them vulnerable to sudden shifts in usage, simply because large chunks of the audience may suddenly have changed their minds about what is socially acceptable. And this is what’s currently happening to Twitter.

This is compounded by the fact that we’re talking about technology here, so where we perceive ourselves to be on the technology acceptance curve will have an impact on the social channels we find acceptable to us. If we think we’re early adopters, we’ll be quicker to move to whatever is new. Not only this, we’ll be unduly influenced by what we see other early adopters doing.

The Maturity Continuum for Social is as follows:

It’s a Fad – You use it because everyone (in your circle of influence) else is doing it. Early adopters are particularly susceptible to this effect. They’ll be the ones to test out new channels and tools, simply because they are new. But that momentum doesn’t last long. New entrants will also have to prove that they have at least a certain amount of functionality, and, more importantly, something unique that users can identify with. If this is the case, they will transition to the second phase:

It’s a Statement – You use it because it makes a statement about who you are. And with technology, it’s usually about how cutting edge you are. This makes it particularly prone to abandonment. But there are other factors at play here. Is it all business (LinkedIn) or all fun (Snapchat)? A small percentage of the user base will stick in this phase, becoming brand loyalists. The majority, however, will move on to the third phase:

It’s a Tool – You use it because it’s the best tool for the job. Here, functionality trumps all. It’s in these last two phases where rationality finally takes hold. The sheen of the BSOS (Bright Shiny Object Syndrome) has faded and we’ll only continue using it if it provides better functionality for the task at hand than any of the other alternatives. The problem here is the functional supremacy is a never-ending arms race. Sooner or later, something better will come along (if it successfully navigates through the first two phases). This is typically the end of the road for most social media one-trick ponies, and this is what is currently staring Twitter in the face.

It’s a Platform – You use it because the landscape is familiar. Here you rely on becoming a habitual “stickiness” with users and something called UI Cognitive Lock in. Essentially, this is an online real estate play. If you’ve had a long run as a single purpose tool and have developed a large user base, you have to expand that into a familiar landscape before a new contender unseats you as the tool of choice. This is what Facebook and LinkedIn are currently trying to do. And, to survive, it’s what Twitter must do as well. By assembling a number of tools, you increase the cost of switching to the point where it doesn’t make sense for most users.

Each of these phases has different usage profiles, which directly impact their respective business models. More on that next week.

 

Two Views of the Promise of Technology

technologybrainIn the last two columns, I’ve looked at how technology may be making us intellectually lazy. The human brain tends to follow the path of least resistance and technology’s goal is to eliminate resistance. Last week, I cautioned that this may end up making us both more shallow in our thinking and more fickle in our social ties. We may become an attention deficit society, skipping across the surface of the world. But, this doesn’t necessarily have to be the case.

The debate is not a new one. Momentous technologies generally come complete with their own chorus of naysayers. Whether it’s the invention of writing, the printing press, electronic communication or digital media, the refrain is the same – this will be the end of the world as we know it. But if history has taught us anything, it’s that new technologies are seldom completely beneficial or harmful. Their lasting impact lies somewhere in the middle. With the good comes some bad.

The same will be true for the current digital technologies. The world will change, both for the positive and for the negative. The difference will come in how individuals use the technology. This will spread out along the inevitable bell curve.

watchingTVLook at television, for instance. A sociologist could make a pretty convincing case for the benefits of TV. A better understanding of the global community helped ease our xenophobic biases. Public demand lead to increased international pressure on repressive regimes. There was a sociological leveling that is still happening across cultures. Civil rights and sexual equality were propelled by the coverage they received. Atrocities still happen with far too much regularity, but I personally believe the world is a less savage and brutal place than it was 100 years ago, partially due to the spread of TV.

On the flip side, we have developed a certain laziness of spirit that is fed by TV’s never ending parade of entertainment to be passively consumed. We spend less time visiting our neighbors. We volunteer less. We’re less involved in our communities. Ironically, we’re  a more idealistic society but we make poorer neighbors.

The type of programming to be found on TV also shows that despite the passive nature of the medium, we didn’t become stupider en masse. Some of us use TV for enlightenment, and some of us use it to induce ourselves into a coma. At the end of the day, I think the positives and negatives of TV as a technology probably net out a little better than neutral.

I suspect the same thing is happening with digital media. Some of us are diving deeper and learning more than ever. Others are clicking their way through site after site of brain-porn. Perhaps there are universal effects that will show up over generations that will type the scale one way or the other, but we’re too early in the trend to see those yet. The fact is, digital technologies are not changing our brains in a vacuum. Our environment is also changing and perhaps our brains are just keeping up. The 13 year old who is frustrating the hell out of us today may be a much better match for the world 20 years from now.

I’ll wrap up by leaving three pieces of advice that seem to provide useful guides for getting the best out of new technologies.

First: A healthy curiosity is something we should never stop nurturing. In particular, I find it helpful to constantly ask “how” and “why.”

Second: Practice mindfulness. Be aware of your emotions and cognitive biases and recognize them for what they are. This will help you steer things back on track when they’re leading down an unhealthy path

Third: Move from consuming content to contributing something meaningful. The discipline of publishing tends to push you beyond the shallows.

If you embrace the potential of technology, you may still find yourself as an outlier, but technology has done much to allow a few outliers to make a huge difference.

Are Our Brains Trading Breadth for Depth?

ebrain1In last week’s column, I looked at how efficient our brains are. Essentially, if there’s a short cut to an end goal identified by the brain, it will find it. I explained how Google is eliminating the need for us to remember easily retrievable information. I also speculated about how our brains may be defaulting to an easier form of communication, such as texting rather than face-to-face communication.

Personally, I am not entirely pessimistic about the “Google Effect,” where we put less effort into memorizing information that can be easily retrieved on demand. This is an extension of Daniel Wegner’s “transactive memory”, and I would put it in the category of coping mechanisms. It makes no sense to expend brainpower on something that technology can do easier, faster and more reliably. As John Mallin commented, this is like using a calculator rather than memorizing times tables.

Reams of research has shown that our memories can be notoriously inaccurate. In this case, I partially disagree with Nicholas Carr. I don’t think Google is necessarily making us stupid. It may be freeing up the incredibly flexible power of our minds, giving us the opportunity to redefine what it means to be knowledgeable. Rather than a storehouse of random information, our minds may have the opportunity to become more creative integrators of available information. We may be able to expand our “meta-memory”, Wegner’s term for the layer of memory that keeps track of where to turn for certain kinds of knowledge. Our memory could become index of interesting concepts and useful resources, rather than ad-hoc scraps of knowledge.

Of course, this positive evolution of our brains is far from a given. And here Carr may have a point. There is a difference between “lazy” and “efficient.” Technology’s freeing up of the processing power of our brain is only a good thing if that power is then put to a higher purpose. Carr’s title, “The Shallows” is a warning that rather than freeing up our brains to dive deeper into new territory, technology may just give us the ability to skip across the surface of the titillating. Will we waste our extra time and cognitive power going from one piece of brain candy to the other, or will we invest it by sinking our teeth into something important and meaningful?

A historical perspective gives us little reason to be optimistic. We evolved to balance the efforts required to find food with the nutritional value we got from that food. It used to be damned hard to feed ourselves, so we developed preferences for high calorie, high fat foods that would go a long way once we found them. Thanks to technology, the only effort required today to get these foods is to pick them off the shelf and pay for them. We could have used technology to produce healthier and more nutritious foods, but market demands determined that we’d become an obese nation of junk food eaters. Will the same thing happen to our brains?

I am even more concerned with the short cuts that seem to be developing in our social networking activities. Typically, our social networks are built both from strong ties and weak ties. Mark Granovetter identified these two types of social ties in the 70’s. Strong ties bind us to family and close friends. Weak ties connect us with acquaintances. When we hit rough patches, as we inevitably do, we treat those ties very differently. Strong ties are typically much more resilient to adversity. When we hit the lowest points in our lives, it’s the strong ties we depend on to pull us through. Our lifelines are made up of strong ties. If we have a disagreement with someone with whom we have a strong tie, we work harder to resolve it. We have made large investments in these relationships, so we are reluctant to let them go. When there are disruptions in our strong tie network, there is a strong motivation to eliminate the disruption, rather than sacrifice the network.

Weak ties are a whole different matter. We have minimal emotional investments in these relationships. Typically, we connect with these either through serendipity or when we need something that only they can offer. For example, we typically reinstate our weak tie network when we’re on the hunt for a job. LinkedIn is the virtual embodiment of a weak tie network. And if we have a difference of opinion with someone to whom we’re weakly tied, we just shut down the connection. We have plenty of them so one more or less won’t make that much of a difference. When there are disruptions in our weak tie network, we just change the network, deactivating parts of it and reactivating others.

Weak ties are easily built. All we need is just one thing in common at one point in our lives. It could be working in the same company, serving on the same committee, living in the same neighborhood or attending the same convention. Then, we just need some way to remember them in the future. Strong ties are different. Strong ties develop over time, which means they evolve through shared experiences, both positive and negative. They also demand consistent communication, including painful communication that sometimes requires us to say we were wrong and we’re sorry. It’s the type of conversation that leaves you either emotionally drained or supercharged that is the stuff of strong ties. And a healthy percentage of these conversations should happen face-to-face. Could you build a strong tie relationship without ever meeting face-to-face? We’ve all heard examples, but I’d always place my bets on face-to-face – every time.

It’s the hard work of building strong ties that I fear we may miss as we build our relationships through online channels. I worry that the brain, given an easy choice and a hard choice, will naturally opt for the easy one. Online, our network of weak ties can grow beyond the inherent limits of our social inventory, known as Dunbar’s Number (which is 150, by the way). We could always find someone with which to spend a few minutes texting or chatting online. Then we can run off to the next one. We will skip across the surface of our social network, rather than invest the effort and time required to build strong ties. Just like our brains, our social connections may trade breadth for depth.

The Pros and Cons of a Fuel Efficient Brain

Transactive dyadic memory Candice Condon3Your brain will only work as hard as it has to. And if it makes you feel any better, my brain is exactly the same. That’s the way brains work. They conserve horsepower until when it’s absolutely needed. In the background, the brain is doing a constant calculation: “What do I want to achieve and based on everything I know, what is the easiest way to get there?” You could call it lazy, but I prefer the term “efficient.”

The brain has a number of tricks to do this that involve relatively little thinking. In most cases, they involve swapping something that’s easy for your brain to do in place of something difficult. For instance, consider when you vote. It would be extraordinarily difficult to weigh all the factors involved to truly make an informed vote. It would require a ton of brainpower. But it’s very easy to vote for whom you like. We have a number of tricks we use to immediately assess whether we like and trust another individual. They require next to no brainpower. Guess how most people vote? Even those of us who pride ourselves on being informed voters rely on these brain short cuts more than we would like to admit.

Here’s another example that’s just emerging, thanks to search engines. It’s called the Google Effect and it’s an extension of a concept called Transactive Memory. Researchers Betsy Sparrow, Jenny Liu and Daniel Wegner identified the Google Effect in 2011. Wegner first explained transactive memory back in the 80’s. Essentially, it means that we won’t both to remember something that we can easily reference when we need it. When Wegner first talked about transactive memory in the 80’s, he used the example of a husband and wife. The wife was good at remembering important dates, such as anniversaries and birthdays. The husband was good at remembering financial information, such as bank balances and when bills were due. The wife didn’t have to remember financial details and the husband didn’t have to worry about dates. All they had to remember was what each other was good at memorizing. Wegner called this “chunking” of our memory requirements “metamemory.”

If we fast-forward 30 years from Wegner’s original paper, we find a whole new relevance for transactive memory, because we now have the mother of all “metamemories”, called Google. If we hear a fact but know that this is something that can easily be looked up on Google, our brains automatically decide to expend little to no effort in trying to memorize it. Subconsciously, the brain goes into power-saver mode. All we remember is that when we do need to retrieve the fact, it will be a few clicks away on Google. Nicholar Carr fretted about whether this and other cognitive short cuts were making us stupid in his book “The Shallows.”

But there are other side effects that come from the brain’s tendency to look for short cuts without our awareness. I suspect the same thing is happening with social connections. Which would you think required more cognitive effort: a face-to-face conversation with someone or texting them on a smartphone?

Face-to-face conversation can put a huge cognitive load on our brains. We’re receiving communication at a much greater bandwidth than with text.   When we’re across from a person, we not only hear what they’re saying, we’re reading emotional cues, watching facial expressions, interpreting body language and monitoring vocal tones. It’s a much richer communication experience, but it’s also much more work. It demands our full attention. Texting, on the other hand, can easily be done along with other tasks. It’s asynchronous – we can pause and pick up when ever we want. I suspect its no coincidence that younger generations are moving more and more to text based digital communication. Their brains are pushing them in that direction because it’s less work.

One of the great things about technology is that it makes our life easier. But is that also a bad thing? If we know that our brains will always opt for the easiest path, are we putting ourselves in a long, technology aided death spiral? That was Nicholas Carr’s contention. Or, are we freeing up our brains for more important work?

More on this to come next week.